iPhone17,5
Geekbench AI Score
4118
Single Precision Score
4319
Half Precision Score
4287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 04:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
882
164.1 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3330
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3154
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11305
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11299
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (Q)
|
92% |
1796
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
5979
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10107
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10193
78.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9698
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24436
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25720
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25598
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4528
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3272
120.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4096
151.2 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5951
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
