iPhone 15 Pro Max
Geekbench ML Score
1983
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
895
167.5 IPS |
|
|
Image Classification (F16)
|
100% |
913
170.9 IPS |
|
|
Image Classification (I8)
|
99% |
804
150.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
323
5.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
333
5.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
329
5.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
14462
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15312
18.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14827
18.0 IPS |
|
|
Object Detection (F32)
|
100% |
1019
76.1 IPS |
|
|
Object Detection (F16)
|
100% |
1072
80.0 IPS |
|
|
Object Detection (I8)
|
97% |
910
67.9 IPS |
|
|
Face Detection (F32)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (F16)
|
97% |
4420
52.6 IPS |
|
|
Face Detection (I8)
|
96% |
4063
48.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8619
66.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9393
72.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
9363
72.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23246
30.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27820
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
34435
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3362
120.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3594
128.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3808
136.0 IPS |
|
|
Text Classification (F32)
|
100% |
344
493.7 IPS |
|
|
Text Classification (F16)
|
100% |
349
501.3 IPS |
|
|
Text Classification (I8)
|
96% |
236
339.5 IPS |
|
|
Machine Translation (F32)
|
100% |
202
3.71 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.75 IPS |
|
|
Machine Translation (I8)
|
99% |
175
3.22 IPS |
