iPhone17,5
Geekbench AI Score
4149
Single Precision Score
7151
Half Precision Score
5722
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 01:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
3206
596.2 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3186
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7826
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16127
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13536
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
97% |
3630
289.0 IPS |
|
|
Object Detection (Q)
|
94% |
2510
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3767
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7336
56.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13009
100.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8994
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17149
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34243
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28007
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6691
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5996
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5952
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5734
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
