iPhone 15 Pro
Geekbench ML Score
5907
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1736
324.9 IPS |
|
|
Image Classification (F16)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6800
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1488
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1895
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1886
31.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14589
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
83219
100.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
86026
104.2 IPS |
|
|
Object Detection (F32)
|
100% |
1433
107.0 IPS |
|
|
Object Detection (F16)
|
100% |
3843
286.9 IPS |
|
|
Object Detection (I8)
|
97% |
1608
120.1 IPS |
|
|
Face Detection (F32)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (F16)
|
97% |
10621
126.3 IPS |
|
|
Face Detection (I8)
|
96% |
10515
125.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12107
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
38394
297.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
41113
318.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28353
37.3 IPS |
|
|
Style Transfer (F16)
|
100% |
117959
155.2 IPS |
|
|
Style Transfer (I8)
|
100% |
118889
156.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6443
230.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17074
609.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17112
611.1 IPS |
|
|
Text Classification (F32)
|
100% |
422
606.1 IPS |
|
|
Text Classification (F16)
|
100% |
428
615.5 IPS |
|
|
Text Classification (I8)
|
96% |
276
396.7 IPS |
|
|
Machine Translation (F32)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1532
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
