iPhone17,5
Geekbench AI Score
4359
Single Precision Score
7329
Half Precision Score
5796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:32 AM |
| Views | 1 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
3281
610.2 IPS |
|
|
Image Classification (Q)
|
96% |
2241
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3127
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8501
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
16637
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13937
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2516
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6721
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3748
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7481
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12979
100.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8992
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19164
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34674
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27945
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4811
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6247
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6223
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6344
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6180
106.8 IPS |
