iPhone17,5
Geekbench AI Score
4127
Single Precision Score
6956
Half Precision Score
5425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:11 PM |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
3273
608.6 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2927
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7718
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15330
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13205
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3422
272.4 IPS |
|
|
Object Detection (Q)
|
94% |
2377
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7006
54.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12384
95.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8481
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18270
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32211
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25708
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4808
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4618
170.5 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6276
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6205
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5323
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4894
84.6 IPS |
