iPhone17,1
Geekbench AI Score
5763
Single Precision Score
6794
Half Precision Score
6065
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:46 PM |
| Views | 1 |
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% |
2777
516.4 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.6 IPS |
|
|
Image Classification (Q)
|
97% |
2611
487.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4321
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15696
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16513
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15233
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (Q)
|
91% |
2742
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
7892
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10699
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
7362
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13417
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14518
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11499
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33040
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39544
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35221
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8033
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8454
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5820
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1211
20.9 IPS |
