iPhone17,5
Geekbench AI Score
4026
Single Precision Score
4418
Half Precision Score
4311
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (Q)
|
96% |
891
166.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3162
51.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11016
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11294
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11223
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (Q)
|
92% |
1737
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
6485
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
7319
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
5992
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10114
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10137
78.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9711
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24463
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25651
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25542
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4511
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4205
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.2 IPS |
