iPhone17,5
Geekbench AI Score
4118
Single Precision Score
7041
Half Precision Score
5595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 07:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
3174
590.3 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3167
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7973
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15952
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13153
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.1 IPS |
|
|
Object Detection (HP)
|
97% |
3536
281.5 IPS |
|
|
Object Detection (Q)
|
94% |
2438
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3630
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7117
54.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12424
96.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8587
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16521
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33422
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26672
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4557
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4672
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5899
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5342
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5909
102.1 IPS |
