iPhone17,5
Geekbench AI Score
4490
Single Precision Score
32696
Half Precision Score
44985
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 12:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
15174
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20535
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18242
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23762
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9178
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153724
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293574
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
16197
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22636
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40304
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
56731
674.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8136
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95538
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160724
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19598
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245207
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
306383
395.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51673
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84159
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10208
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11062
191.2 IPS |
