iPhone17,5
Geekbench AI Score
4021
Single Precision Score
7038
Half Precision Score
5550
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 21 2025 07:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
3230
600.7 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3187
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7577
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
15727
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13271
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (HP)
|
97% |
3528
280.8 IPS |
|
|
Object Detection (Q)
|
94% |
2462
196.2 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6585
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3641
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6582
50.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12746
98.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8589
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20259
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33167
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26920
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4697
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6389
235.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5608
96.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5557
96.0 IPS |
