iPhone17,5
Geekbench AI Score
4262
Single Precision Score
7061
Half Precision Score
5637
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 08:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
3278
609.5 IPS |
|
|
Image Classification (Q)
|
96% |
2237
417.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2767
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3153
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8225
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
16031
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13525
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.5 IPS |
|
|
Object Detection (HP)
|
97% |
3563
283.7 IPS |
|
|
Object Detection (Q)
|
94% |
2478
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3647
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7191
55.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
11960
92.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8546
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18629
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33424
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27511
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6826
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4685
173.0 IPS |
|
|
Text Classification (SP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6075
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5546
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5733
99.1 IPS |
