iPhone17,5
Geekbench AI Score
4129
Single Precision Score
7027
Half Precision Score
5514
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 09:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1956
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
2661
494.8 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7801
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
16117
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13732
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
97% |
3592
286.0 IPS |
|
|
Object Detection (Q)
|
94% |
2462
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3737
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7386
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13122
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8955
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34395
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27879
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4884
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6895
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4627
170.8 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5920
102.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5934
102.6 IPS |
