iPhone17,5
Geekbench AI Score
4046
Single Precision Score
32799
Half Precision Score
46486
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:25 PM |
| Views | 1 |
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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
15267
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
22205
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18238
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23740
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7247
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
135964
158.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
289364
339.2 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16339
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22731
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
40620
482.6 IPS |
|
|
Face Detection (Q)
|
100% |
56943
676.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7200
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95437
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159466
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
16194
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244998
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304131
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4526
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47477
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84333
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5024
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10285
177.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11296
195.2 IPS |
