iPhone17,5
Geekbench AI Score
4403
Single Precision Score
7513
Half Precision Score
6036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3229
600.5 IPS |
|
|
Image Classification (Q)
|
96% |
2213
413.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9060
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18631
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15542
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2588
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6885
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8068
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14249
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9928
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17860
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37506
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30714
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5609
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6834
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5049
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6001
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6039
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5976
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5942
102.7 IPS |
