iPhone17,5
Geekbench AI Score
4240
Single Precision Score
32869
Half Precision Score
45836
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
15217
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20317
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18172
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23758
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7804
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
143296
167.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293149
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
16471
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22767
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
40355
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
56603
672.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7727
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95598
736.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165506
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
16973
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244672
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
304195
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50167
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83525
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4615
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10322
177.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11598
200.4 IPS |
