iPhone17,5
Geekbench AI Score
4188
Single Precision Score
33423
Half Precision Score
45009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:10 AM |
| Views | 4 |
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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
14928
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18903
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18087
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23627
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7756
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
138469
161.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293083
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
15670
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21243
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3303
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
41116
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
51267
609.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7185
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94298
726.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
153326
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
17956
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
242545
311.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294781
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51317
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79934
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6286
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9790
168.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10693
184.8 IPS |
