iPhone17,1
Geekbench AI Score
5833
Single Precision Score
6869
Half Precision Score
6059
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | VampirSilphy |
| Upload Date | October 15 2024 06:05 PM |
| Views | 4 |
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% |
3008
559.4 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.0 IPS |
|
|
Image Classification (Q)
|
97% |
2655
495.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4355
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15790
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16527
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15308
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3270
259.4 IPS |
|
|
Object Detection (HP)
|
100% |
3618
287.0 IPS |
|
|
Object Detection (Q)
|
91% |
2873
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
10715
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
7105
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13473
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14515
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11939
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33306
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39643
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34363
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8155
301.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8406
310.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6743
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5992
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1152
19.9 IPS |
