iPhone17,2
Geekbench ML Score
10109
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 26 2025 12:17 PM |
| Views | 7 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1931
361.3 IPS |
|
|
Image Classification (F16)
|
100% |
12031
2.25 KIPS |
|
|
Image Classification (I8)
|
99% |
14106
2.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1672
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2302
38.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2403
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14485
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
132497
160.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
133401
161.5 IPS |
|
|
Object Detection (F32)
|
100% |
1376
102.7 IPS |
|
|
Object Detection (F16)
|
100% |
5774
431.0 IPS |
|
|
Object Detection (I8)
|
97% |
1899
141.7 IPS |
|
|
Face Detection (F32)
|
100% |
6566
78.1 IPS |
|
|
Face Detection (F16)
|
97% |
17656
209.9 IPS |
|
|
Face Detection (I8)
|
96% |
19080
226.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13173
102.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
61668
478.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
51752
401.3 IPS |
|
|
Style Transfer (F32)
|
100% |
31291
41.2 IPS |
|
|
Style Transfer (F16)
|
100% |
143765
189.1 IPS |
|
|
Style Transfer (I8)
|
100% |
140277
184.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7648
273.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
40287
1.44 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
43994
1.57 KIPS |
|
|
Text Classification (F32)
|
100% |
3393
4.88 KIPS |
|
|
Text Classification (F16)
|
100% |
5733
8.24 KIPS |
|
|
Text Classification (I8)
|
96% |
5705
8.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
898
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1660
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
900
16.6 IPS |
