iPhone 15 Pro
Geekbench ML Score
3696
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 25 2025 05:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1226
229.4 IPS |
|
|
Image Classification (F16)
|
100% |
2683
502.2 IPS |
|
|
Image Classification (I8)
|
99% |
2686
502.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
962
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1258
21.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1209
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6533
7.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
13879
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13661
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1520
113.5 IPS |
|
|
Object Detection (F16)
|
100% |
2630
196.3 IPS |
|
|
Object Detection (I8)
|
97% |
1563
116.7 IPS |
|
|
Face Detection (F32)
|
100% |
2561
30.5 IPS |
|
|
Face Detection (F16)
|
97% |
5849
69.5 IPS |
|
|
Face Detection (I8)
|
97% |
5135
61.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5916
45.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
12918
100.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
13372
103.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13173
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20051
26.4 IPS |
|
|
Style Transfer (I8)
|
100% |
19245
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4802
171.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4518
161.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4011
143.3 IPS |
|
|
Text Classification (F32)
|
100% |
1800
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
2995
4.30 KIPS |
|
|
Text Classification (I8)
|
96% |
5030
7.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
773
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1344
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1101
20.3 IPS |
