iPhone 15 Pro
Geekbench ML Score
2571
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 03:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
856
160.2 IPS |
|
|
Image Classification (F16)
|
100% |
1135
212.4 IPS |
|
|
Image Classification (I8)
|
99% |
1059
198.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
841
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
877
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
852
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9534
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15292
18.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14715
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (F16)
|
100% |
1075
80.2 IPS |
|
|
Object Detection (I8)
|
97% |
1130
84.3 IPS |
|
|
Face Detection (F32)
|
100% |
5119
60.9 IPS |
|
|
Face Detection (F16)
|
98% |
5972
71.0 IPS |
|
|
Face Detection (I8)
|
97% |
5729
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10648
82.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10738
83.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
8747
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
24425
32.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28245
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
31516
41.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3887
138.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3967
141.7 IPS |
|
|
Text Classification (F32)
|
100% |
375
538.7 IPS |
|
|
Text Classification (F16)
|
100% |
403
578.9 IPS |
|
|
Text Classification (I8)
|
96% |
365
524.7 IPS |
|
|
Machine Translation (F32)
|
100% |
421
7.74 IPS |
|
|
Machine Translation (F16)
|
100% |
434
7.98 IPS |
|
|
Machine Translation (I8)
|
99% |
389
7.16 IPS |
