iPhone17,5
Geekbench AI Score
4338
Single Precision Score
33888
Half Precision Score
45652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | June 10 2025 02:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
14519
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18467
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18112
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23545
381.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8620
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147628
172.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292169
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
15480
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21050
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39982
475.1 IPS |
|
|
Face Detection (Q)
|
100% |
52756
626.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7514
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94129
725.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
150669
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
19344
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244636
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296911
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51120
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78888
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6083
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11610
200.0 IPS |
|
|
Machine Translation (Q)
|
98% |
13492
233.2 IPS |
