iPhone17,1
Geekbench AI Score
5599
Single Precision Score
6572
Half Precision Score
5940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 08 2024 03:20 PM |
| Views | 6 |
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% |
2802
521.1 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (Q)
|
97% |
2438
455.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4416
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4307
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16236
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15102
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (Q)
|
91% |
2723
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
7573
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10660
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
7344
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13170
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14281
110.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10886
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27766
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29122
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33424
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6764
249.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8480
313.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6707
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1210
20.9 IPS |
