iPhone17,5
Geekbench AI Score
4187
Single Precision Score
4450
Half Precision Score
4372
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 12:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
910
169.2 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (Q)
|
96% |
930
173.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3223
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11393
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11105
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
92% |
1955
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
7338
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5990
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10096
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10524
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9911
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24434
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26074
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25719
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4021
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6065
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
