iPhone17,5
Geekbench AI Score
3797
Single Precision Score
4035
Half Precision Score
3792
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | March 15 2025 03:50 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
894
166.3 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.5 IPS |
|
|
Image Classification (Q)
|
97% |
1104
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2594
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11087
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11403
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10829
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
91% |
1477
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
6491
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5234
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10031
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10352
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9168
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24494
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26516
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24935
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5832
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
98% |
498
8.60 IPS |
