iPhone 15 Pro
Geekbench ML Score
6281
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:18 AM |
| Views | 2 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1757
328.9 IPS |
|
|
Image Classification (F16)
|
100% |
6304
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6987
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1910
31.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1893
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14583
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
82813
100.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
85872
104.0 IPS |
|
|
Object Detection (F32)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (F16)
|
100% |
4012
299.5 IPS |
|
|
Object Detection (I8)
|
97% |
2287
170.7 IPS |
|
|
Face Detection (F32)
|
100% |
6506
77.4 IPS |
|
|
Face Detection (F16)
|
97% |
10649
126.6 IPS |
|
|
Face Detection (I8)
|
96% |
10561
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12271
95.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
41908
325.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
49473
383.7 IPS |
|
|
Style Transfer (F32)
|
100% |
27596
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
124203
163.4 IPS |
|
|
Style Transfer (I8)
|
100% |
118506
155.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6853
244.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17789
635.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18641
665.7 IPS |
|
|
Text Classification (F32)
|
100% |
456
655.5 IPS |
|
|
Text Classification (F16)
|
100% |
495
711.0 IPS |
|
|
Text Classification (I8)
|
96% |
470
675.7 IPS |
|
|
Machine Translation (F32)
|
100% |
751
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
675
12.4 IPS |
