iPhone17,5
Geekbench AI Score
4153
Single Precision Score
4386
Half Precision Score
4132
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
870
161.8 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (Q)
|
96% |
890
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3082
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3211
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11298
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11239
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (Q)
|
92% |
1809
144.4 IPS |
|
|
Face Detection (SP)
|
100% |
6410
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
7355
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
5966
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10095
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9463
72.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9212
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23901
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25660
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19425
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4127
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3775
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5954
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1042
18.0 IPS |
