iPhone 16 Pro GPU iPhone17,1
Geekbench AI Score
5851
Single Precision Score
6774
Half Precision Score
6133
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiKayule |
| Upload Date | October 12 2024 11:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3042
565.7 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (Q)
|
97% |
2643
493.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4428
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4377
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15692
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16459
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15486
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
3519
279.1 IPS |
|
|
Object Detection (Q)
|
91% |
2861
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
8258
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
11109
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
7698
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14075
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15251
117.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11729
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32645
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38303
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37068
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8082
298.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8347
308.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6796
250.9 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1103
19.1 IPS |
