iPhone17,5
Geekbench AI Score
4097
Single Precision Score
6989
Half Precision Score
5568
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3177
590.8 IPS |
|
|
Image Classification (Q)
|
96% |
2178
406.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3152
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15788
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13553
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (HP)
|
97% |
3480
277.1 IPS |
|
|
Object Detection (Q)
|
94% |
2415
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6442
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3592
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12587
97.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8521
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16758
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33245
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26853
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4571
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4604
170.0 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5933
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5300
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5740
99.2 IPS |
