iPhone17,5
Geekbench AI Score
4072
Single Precision Score
4518
Half Precision Score
4308
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
879
163.4 IPS |
|
|
Image Classification (HP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (Q)
|
96% |
795
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3398
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3257
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10646
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11854
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11562
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (Q)
|
92% |
1910
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
7362
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
6017
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9809
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10294
79.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9799
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23935
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26297
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26022
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3809
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6236
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
