iPhone17,5
Geekbench AI Score
3560
Single Precision Score
5968
Half Precision Score
4764
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 05:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.9 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7838
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15584
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13240
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
97% |
3038
241.8 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6706
51.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11068
85.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7758
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18293
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31413
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25523
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4784
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3971
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4705
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4739
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3919
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3913
67.6 IPS |
