iPhone17,5
Geekbench AI Score
4110
Single Precision Score
33450
Half Precision Score
45032
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
14797
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
19754
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18112
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23627
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7569
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
138886
162.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
280456
328.7 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
15620
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21282
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
41122
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
50972
605.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93899
723.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
154447
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
18210
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243449
313.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295881
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52508
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80368
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6213
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3846
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9837
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10627
183.7 IPS |
