iPhone 15 Pro
Geekbench ML Score
4060
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 04:43 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1724
322.6 IPS |
|
|
Image Classification (F16)
|
100% |
2150
402.3 IPS |
|
|
Image Classification (I8)
|
99% |
2169
405.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
924
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
924
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7405
8.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
16093
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16122
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1642
122.6 IPS |
|
|
Object Detection (F16)
|
100% |
2254
168.3 IPS |
|
|
Object Detection (I8)
|
97% |
1641
122.5 IPS |
|
|
Face Detection (F32)
|
100% |
2840
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4771
56.7 IPS |
|
|
Face Detection (I8)
|
97% |
4727
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6277
48.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9566
74.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9589
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20531
27.0 IPS |
|
|
Style Transfer (F16)
|
100% |
30292
39.8 IPS |
|
|
Style Transfer (I8)
|
100% |
30337
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5090
181.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6222
222.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6180
220.7 IPS |
|
|
Text Classification (F32)
|
100% |
2917
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
4796
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4731
6.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1288
23.7 IPS |
