iPhone17,5
Geekbench AI Score
4248
Single Precision Score
7358
Half Precision Score
5804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:07 AM |
| Views | 1 |
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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3233
601.3 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3189
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8244
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16736
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14087
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2531
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3791
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7505
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13453
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9097
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17533
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35721
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28657
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7123
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5919
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6003
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
