iPhone17,1
Geekbench AI Score
5791
Single Precision Score
6740
Half Precision Score
6029
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
3005
558.9 IPS |
|
|
Image Classification (HP)
|
100% |
2693
500.8 IPS |
|
|
Image Classification (Q)
|
97% |
2844
530.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4386
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15776
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16315
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (Q)
|
91% |
3119
249.2 IPS |
|
|
Face Detection (SP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10653
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7158
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13362
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14353
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12445
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33241
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39599
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36771
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8041
296.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8476
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6813
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6058
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5976
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
