iPhone 15 Pro Max
Geekbench ML Score
6001
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 29 2024 05:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1432
267.9 IPS |
|
|
Image Classification (F16)
|
100% |
6388
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6987
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1796
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1797
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14627
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
84000
101.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
86012
104.2 IPS |
|
|
Object Detection (F32)
|
100% |
1649
123.1 IPS |
|
|
Object Detection (F16)
|
100% |
3828
285.8 IPS |
|
|
Object Detection (I8)
|
97% |
1655
123.6 IPS |
|
|
Face Detection (F32)
|
100% |
6449
76.7 IPS |
|
|
Face Detection (F16)
|
97% |
10612
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
10647
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12268
95.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
39043
302.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
37859
293.6 IPS |
|
|
Style Transfer (F32)
|
100% |
28438
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
120788
158.9 IPS |
|
|
Style Transfer (I8)
|
100% |
120980
159.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6924
247.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17659
630.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18406
657.3 IPS |
|
|
Text Classification (F32)
|
100% |
457
657.1 IPS |
|
|
Text Classification (F16)
|
100% |
491
705.5 IPS |
|
|
Text Classification (I8)
|
96% |
323
464.3 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
677
12.5 IPS |
