iPhone17,5
Geekbench AI Score
2407
Single Precision Score
2741
Half Precision Score
2642
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | March 31 2025 05:28 PM |
| Views | 6 |
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 | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
97% |
915
170.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2331
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5898
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
6265
7.34 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (Q)
|
91% |
1185
94.7 IPS |
|
|
Face Detection (SP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
3038
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6304
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6195
47.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
5441
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15704
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18720
24.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18239
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4039
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2404
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
98% |
395
6.82 IPS |
