iPhone17,5
Geekbench AI Score
4037
Single Precision Score
4485
Half Precision Score
4349
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:15 PM |
| Views | 6 |
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% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
741
137.9 IPS |
|
|
Image Classification (Q)
|
96% |
807
150.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3390
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3239
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10638
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11853
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11520
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.4 IPS |
|
|
Object Detection (HP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (Q)
|
92% |
2101
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
6318
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
7308
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
6030
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9902
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10630
81.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9733
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23894
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26289
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26059
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3811
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.3 IPS |
