iPhone 15 Pro Max
Geekbench ML Score
4004
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:35 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% |
1683
315.0 IPS |
|
|
Image Classification (F16)
|
100% |
2136
399.7 IPS |
|
|
Image Classification (I8)
|
99% |
2145
401.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
853
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
845
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7384
8.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
15894
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15803
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1631
121.8 IPS |
|
|
Object Detection (F16)
|
100% |
2260
168.7 IPS |
|
|
Object Detection (I8)
|
97% |
1639
122.4 IPS |
|
|
Face Detection (F32)
|
100% |
2831
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4711
56.0 IPS |
|
|
Face Detection (I8)
|
97% |
4714
56.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6297
48.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9636
74.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9697
75.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20215
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30066
39.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30028
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5135
183.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5971
213.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5963
213.0 IPS |
|
|
Text Classification (F32)
|
100% |
2935
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4797
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4808
6.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1578
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1277
23.5 IPS |
