iPhone 15 Pro Max
Geekbench ML Score
4042
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:14 PM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1679
314.2 IPS |
|
|
Image Classification (F16)
|
100% |
2171
406.2 IPS |
|
|
Image Classification (I8)
|
99% |
2177
407.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
892
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
864
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7506
9.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
16164
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15811
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1644
122.8 IPS |
|
|
Object Detection (F16)
|
100% |
2262
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1644
122.7 IPS |
|
|
Face Detection (F32)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
4739
56.3 IPS |
|
|
Face Detection (I8)
|
97% |
4724
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6246
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9662
74.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9696
75.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20375
26.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30351
39.9 IPS |
|
|
Style Transfer (I8)
|
100% |
30580
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5219
186.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6161
220.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6297
224.9 IPS |
|
|
Text Classification (F32)
|
100% |
2941
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4825
6.93 KIPS |
|
|
Text Classification (I8)
|
96% |
4892
7.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1311
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1574
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1283
23.6 IPS |
