iPhone17,5
Geekbench AI Score
4206
Single Precision Score
7078
Half Precision Score
5596
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 09:31 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
3275
609.1 IPS |
|
|
Image Classification (Q)
|
96% |
2227
415.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3134
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
16110
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13552
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
97% |
3550
282.6 IPS |
|
|
Object Detection (Q)
|
94% |
2416
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6400
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
3615
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7085
54.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12520
96.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8646
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17886
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33183
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26491
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4795
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6984
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4669
172.4 IPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6204
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3840
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5343
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5496
95.0 IPS |
