iPhone17,5
Geekbench AI Score
3854
Single Precision Score
4374
Half Precision Score
4225
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 31 2025 03:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
921
171.3 IPS |
|
|
Image Classification (HP)
|
100% |
782
145.5 IPS |
|
|
Image Classification (Q)
|
96% |
847
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3191
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10368
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11969
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11615
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2193
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (Q)
|
92% |
1727
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
7373
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
5938
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10038
77.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9263
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15667
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22299
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3405
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6461
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6288
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1062
18.4 IPS |
