iPhone17,5
Geekbench AI Score
4132
Single Precision Score
4406
Half Precision Score
4288
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
876
162.8 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
96% |
882
164.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3213
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11292
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11241
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (Q)
|
92% |
1745
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
6472
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
7330
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
6029
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10108
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10092
77.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9694
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24501
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25628
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25598
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6163
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
