iPhone 15 Pro
Geekbench ML Score
2349
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 07 2024 07:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
1423
266.2 IPS |
|
|
Image Classification (F16)
|
100% |
1242
232.3 IPS |
|
|
Image Classification (I8)
|
99% |
1242
232.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
573
9.57 IPS |
|
|
Image Segmentation (I8)
|
100% |
570
9.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
7332
8.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
13663
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13798
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1420
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
1408
105.1 IPS |
|
|
Object Detection (I8)
|
97% |
1420
106.0 IPS |
|
|
Face Detection (F32)
|
100% |
2376
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (I8)
|
99% |
2052
24.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4761
36.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
4961
38.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
4984
38.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2167
2.85 IPS |
|
|
Style Transfer (F16)
|
100% |
14426
19.0 IPS |
|
|
Style Transfer (I8)
|
100% |
15078
19.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4289
153.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3687
131.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3690
131.8 IPS |
|
|
Text Classification (F32)
|
100% |
1699
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1066
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1068
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1049
19.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1114
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1019
18.8 IPS |
