iPhone17,5
Geekbench AI Score
3930
Single Precision Score
4352
Half Precision Score
4143
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 05:07 AM |
| Views | 9 |
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 | 3.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.8 IPS |
|
|
Image Classification (Q)
|
96% |
798
149.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3175
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3386
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3248
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10662
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11870
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11575
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
1870
148.3 IPS |
|
|
Object Detection (Q)
|
92% |
1921
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
6217
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
7347
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
5995
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9874
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10358
79.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9479
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23890
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26411
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26045
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3458
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4735
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
