iPhone17,1
Geekbench AI Score
5826
Single Precision Score
6756
Half Precision Score
6077
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 09:17 PM |
| Views | 3 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2864
532.6 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.1 IPS |
|
|
Image Classification (Q)
|
97% |
2757
514.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3578
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4413
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4399
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15802
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16579
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15612
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3210
254.6 IPS |
|
|
Object Detection (HP)
|
100% |
3707
294.0 IPS |
|
|
Object Detection (Q)
|
91% |
2872
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10799
128.3 IPS |
|
|
Face Detection (Q)
|
100% |
7221
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13752
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14371
110.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12439
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33216
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39556
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37400
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7769
286.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8463
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6824
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
941
16.3 IPS |
