MacBook Pro (14-inch, 2023)
Geekbench ML Score
8525
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 06 2024 03:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4695
878.5 IPS |
|
|
Image Classification (F16)
|
100% |
6924
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
7667
1.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1963
32.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1832
30.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1861
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
34166
41.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
77347
93.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
79297
96.0 IPS |
|
|
Object Detection (F32)
|
100% |
3182
237.6 IPS |
|
|
Object Detection (F16)
|
100% |
3300
246.3 IPS |
|
|
Object Detection (I8)
|
97% |
3128
233.5 IPS |
|
|
Face Detection (F32)
|
100% |
13933
165.7 IPS |
|
|
Face Detection (F16)
|
97% |
11193
133.1 IPS |
|
|
Face Detection (I8)
|
96% |
11122
132.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
22657
175.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
35834
277.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
37717
292.5 IPS |
|
|
Style Transfer (F32)
|
100% |
61171
80.5 IPS |
|
|
Style Transfer (F16)
|
100% |
131925
173.5 IPS |
|
|
Style Transfer (I8)
|
100% |
132968
174.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8226
293.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17350
619.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16649
594.6 IPS |
|
|
Text Classification (F32)
|
100% |
913
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
2461
3.54 KIPS |
|
|
Text Classification (I8)
|
96% |
2453
3.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
639
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2323
42.8 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
