iPhone17,5
Geekbench AI Score
3778
Single Precision Score
6504
Half Precision Score
5185
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 31 2025 03:16 PM |
| Views | 9 |
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% |
1857
345.3 IPS |
|
|
Image Classification (HP)
|
100% |
3184
592.2 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2613
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6416
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
13828
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12184
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
97% |
3169
252.3 IPS |
|
|
Object Detection (Q)
|
94% |
2257
179.9 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5706
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3121
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6411
49.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
11468
88.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8080
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32025
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25849
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6616
244.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5043
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5217
90.1 IPS |
