iPhone17,5
Geekbench AI Score
4242
Single Precision Score
33408
Half Precision Score
46115
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | July 08 2025 09:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
14584
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18760
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18113
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23393
379.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7977
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
129764
151.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292728
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
15799
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21692
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
39581
470.3 IPS |
|
|
Face Detection (Q)
|
100% |
52388
622.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7147
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93478
720.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
152266
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
18565
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
242346
311.5 IPS |
|
|
Style Transfer (Q)
|
96% |
293901
379.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50092
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79220
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11618
200.1 IPS |
|
|
Machine Translation (Q)
|
98% |
13657
236.0 IPS |
