iPhone17,5
Geekbench AI Score
3934
Single Precision Score
32932
Half Precision Score
46547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 15 2025 12:23 AM |
| Views | 10 |
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% |
1863
346.5 IPS |
|
|
Image Classification (HP)
|
100% |
15670
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21674
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23732
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7050
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
133801
156.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285684
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
16308
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22652
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
40650
483.0 IPS |
|
|
Face Detection (Q)
|
100% |
56980
677.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6548
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96466
743.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160450
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19618
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245642
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304423
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50102
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85316
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4904
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10211
175.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11709
202.3 IPS |
