iPhone17,5
Geekbench AI Score
4147
Single Precision Score
7196
Half Precision Score
5690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 20 2025 12:09 PM |
| Views | 2 |
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
363.9 IPS |
|
|
Image Classification (HP)
|
100% |
3188
592.8 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8036
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16289
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13816
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (HP)
|
97% |
3600
286.6 IPS |
|
|
Object Detection (Q)
|
94% |
2510
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3727
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6923
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13048
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8800
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21185
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34400
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27689
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6619
244.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4598
169.8 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5829
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5798
100.2 IPS |
