MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8423
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 06 2024 10:31 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5279h) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5178
968.9 IPS |
|
|
Image Classification (F16)
|
100% |
5915
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
5614
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2098
35.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2057
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
42058
50.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
45188
54.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44060
53.4 IPS |
|
|
Object Detection (F32)
|
100% |
3818
285.0 IPS |
|
|
Object Detection (F16)
|
100% |
3382
252.5 IPS |
|
|
Object Detection (I8)
|
97% |
2908
217.1 IPS |
|
|
Face Detection (F32)
|
100% |
13739
163.4 IPS |
|
|
Face Detection (F16)
|
98% |
19496
231.8 IPS |
|
|
Face Detection (I8)
|
97% |
18479
219.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
21341
165.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
28821
223.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
22576
175.1 IPS |
|
|
Style Transfer (F32)
|
100% |
72253
95.0 IPS |
|
|
Style Transfer (F16)
|
100% |
85309
112.2 IPS |
|
|
Style Transfer (I8)
|
100% |
83513
109.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8285
295.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10730
383.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8993
321.2 IPS |
|
|
Text Classification (F32)
|
100% |
2518
3.62 KIPS |
|
|
Text Classification (F16)
|
100% |
4324
6.21 KIPS |
|
|
Text Classification (I8)
|
96% |
4331
6.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1151
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
748
13.8 IPS |
