iPhone17,5
Geekbench AI Score
4116
Single Precision Score
32869
Half Precision Score
45895
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | July 04 2025 06:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1863
346.4 IPS |
|
|
Image Classification (HP)
|
100% |
14586
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18641
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18098
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23413
379.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7705
8.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
136595
159.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278395
326.3 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
15951
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21710
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
40008
475.4 IPS |
|
|
Face Detection (Q)
|
100% |
51540
612.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7057
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93107
717.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
155978
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
196318
252.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296494
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49815
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79198
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11748
202.4 IPS |
|
|
Machine Translation (Q)
|
98% |
13568
234.5 IPS |
