iPhone17,5
Geekbench AI Score
4140
Single Precision Score
7216
Half Precision Score
5702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | burakfirat |
| Upload Date | November 23 2025 01:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1953
363.2 IPS |
|
|
Image Classification (HP)
|
100% |
3227
600.0 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3236
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
16507
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13686
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
97% |
3613
287.6 IPS |
|
|
Object Detection (Q)
|
94% |
2518
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3778
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6949
53.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13203
102.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8967
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21297
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34477
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27769
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6611
244.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4610
170.2 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5886
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5786
100.0 IPS |
