iPhone17,5
Geekbench AI Score
4400
Single Precision Score
7338
Half Precision Score
5873
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 12:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3260
606.3 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3210
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8530
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
16869
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14187
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
97% |
3622
288.3 IPS |
|
|
Object Detection (Q)
|
94% |
2562
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3807
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7590
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13099
101.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9158
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19567
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33877
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27468
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5191
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6228
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6276
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6395
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6414
110.8 IPS |
