iPhone17,1
Geekbench AI Score
5965
Single Precision Score
6606
Half Precision Score
6168
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | September 29 2024 01:26 PM |
| Views | 10 |
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% |
2994
556.7 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (Q)
|
97% |
2428
453.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3606
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4468
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15817
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16452
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15478
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3286
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (Q)
|
91% |
2911
232.6 IPS |
|
|
Face Detection (SP)
|
100% |
7979
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
10860
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
7693
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14066
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15479
119.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12393
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32595
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38332
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36254
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8131
300.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8381
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6978
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6039
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1140
19.7 IPS |
