iPhone17,5
Geekbench AI Score
4104
Single Precision Score
4396
Half Precision Score
4371
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
948
176.4 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
96% |
823
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3174
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3249
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10714
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11929
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11558
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
1859
147.5 IPS |
|
|
Object Detection (Q)
|
92% |
2069
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
5982
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9663
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10162
78.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9734
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23881
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26276
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26022
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4142
152.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3886
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6253
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6388
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
