iPhone17,5
Geekbench AI Score
4278
Single Precision Score
32832
Half Precision Score
43880
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
15239
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19558
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18174
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23799
385.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
153565
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
295117
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
16575
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23273
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
40351
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
56171
667.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7488
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95609
736.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162812
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22130
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245231
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304605
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51722
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84097
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4270
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3048
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9881
170.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11594
200.4 IPS |
