iPhone17,2
Geekbench ML Score
5230
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 26 2025 12:21 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2007
375.5 IPS |
|
|
Image Classification (F16)
|
100% |
3470
649.3 IPS |
|
|
Image Classification (I8)
|
99% |
3440
643.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1104
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1418
23.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1429
23.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9354
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
18621
22.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
18641
22.6 IPS |
|
|
Object Detection (F32)
|
100% |
2133
159.2 IPS |
|
|
Object Detection (F16)
|
100% |
3088
230.5 IPS |
|
|
Object Detection (I8)
|
97% |
2135
159.4 IPS |
|
|
Face Detection (F32)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (F16)
|
97% |
6771
80.5 IPS |
|
|
Face Detection (I8)
|
96% |
6812
81.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8189
63.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13802
107.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
13785
106.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23220
30.5 IPS |
|
|
Style Transfer (F16)
|
100% |
38610
50.8 IPS |
|
|
Style Transfer (I8)
|
100% |
38378
50.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6065
216.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7445
265.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7438
265.6 IPS |
|
|
Text Classification (F32)
|
100% |
3428
4.93 KIPS |
|
|
Text Classification (F16)
|
100% |
5692
8.18 KIPS |
|
|
Text Classification (I8)
|
96% |
5566
8.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1608
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1828
33.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1533
28.2 IPS |
