iPhone17,1
Geekbench AI Score
5749
Single Precision Score
6426
Half Precision Score
6063
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Auroraxe |
| Upload Date | October 20 2024 01:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2832
526.7 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (Q)
|
97% |
2667
497.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3425
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4438
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4366
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15736
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16504
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15226
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
3501
277.7 IPS |
|
|
Object Detection (Q)
|
91% |
2733
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
10756
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
7389
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13294
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14360
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11460
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33014
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37094
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35162
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8421
310.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6861
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5958
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1140
19.7 IPS |
