iPhone17,1
Geekbench AI Score
5808
Single Precision Score
6823
Half Precision Score
5993
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:17 PM |
| Views | 1 |
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% |
3056
568.2 IPS |
|
|
Image Classification (HP)
|
100% |
2654
493.5 IPS |
|
|
Image Classification (Q)
|
97% |
2856
533.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3521
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4375
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16541
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15569
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3168
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
3702
293.6 IPS |
|
|
Object Detection (Q)
|
91% |
2852
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
10768
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
7179
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13436
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14859
114.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12455
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33050
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39549
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35601
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8005
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8415
310.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6842
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5976
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
