iPhone17,5
Geekbench AI Score
3812
Single Precision Score
4059
Half Precision Score
3687
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | March 02 2025 06:44 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (Q)
|
97% |
1061
198.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2972
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11072
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11387
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10835
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
1912
151.7 IPS |
|
|
Object Detection (Q)
|
91% |
1254
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
6417
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
7319
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
5205
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10085
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10098
77.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9122
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24298
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26474
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24836
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4313
159.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3750
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5998
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5931
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
98% |
414
7.15 IPS |
