iPhone17,5
Geekbench AI Score
4270
Single Precision Score
7202
Half Precision Score
5690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 03:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
3297
613.1 IPS |
|
|
Image Classification (Q)
|
96% |
2229
416.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2737
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7995
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16252
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13701
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
97% |
3624
288.5 IPS |
|
|
Object Detection (Q)
|
94% |
2442
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6424
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3596
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12609
97.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8611
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19115
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32850
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27262
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4966
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6843
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4713
174.0 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6295
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6165
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6220
107.5 IPS |
