iPhone17,2
Geekbench ML Score
5412
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2025 12:24 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2616
489.5 IPS |
|
|
Image Classification (F16)
|
100% |
2521
471.7 IPS |
|
|
Image Classification (I8)
|
99% |
2656
497.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1661
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1740
29.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1781
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14328
17.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18037
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17928
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
2533
189.1 IPS |
|
|
Object Detection (F16)
|
100% |
1484
110.8 IPS |
|
|
Object Detection (I8)
|
97% |
1449
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
6687
79.5 IPS |
|
|
Face Detection (F16)
|
98% |
9658
114.8 IPS |
|
|
Face Detection (I8)
|
97% |
9876
117.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13286
103.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15810
122.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
15849
122.9 IPS |
|
|
Style Transfer (F32)
|
100% |
31138
41.0 IPS |
|
|
Style Transfer (F16)
|
100% |
40621
53.4 IPS |
|
|
Style Transfer (I8)
|
100% |
40442
53.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7711
275.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7209
257.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8140
290.7 IPS |
|
|
Text Classification (F32)
|
100% |
3399
4.89 KIPS |
|
|
Text Classification (F16)
|
100% |
5868
8.43 KIPS |
|
|
Text Classification (I8)
|
96% |
5770
8.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
977
18.0 IPS |
|
|
Machine Translation (I8)
|
99% |
891
16.4 IPS |
