iPhone17,5
Geekbench AI Score
4380
Single Precision Score
7340
Half Precision Score
5867
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 08:54 AM |
| Views | 2 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3256
605.5 IPS |
|
|
Image Classification (Q)
|
96% |
2238
417.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8600
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17155
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14379
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3676
292.6 IPS |
|
|
Object Detection (Q)
|
94% |
2587
206.2 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3803
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13178
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9030
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19374
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34335
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27717
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5214
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6263
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6004
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6305
109.0 IPS |
