iPhone17,1
Geekbench AI Score
5789
Single Precision Score
6740
Half Precision Score
6008
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | November 01 2024 03:05 PM |
| Views | 7 |
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% |
3039
565.2 IPS |
|
|
Image Classification (HP)
|
100% |
2788
518.5 IPS |
|
|
Image Classification (Q)
|
97% |
2776
518.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3393
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4383
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15752
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16387
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15557
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
3493
277.0 IPS |
|
|
Object Detection (Q)
|
91% |
2853
228.0 IPS |
|
|
Face Detection (SP)
|
100% |
8007
95.1 IPS |
|
|
Face Detection (HP)
|
100% |
10744
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7181
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13432
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14360
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12057
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32988
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39577
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35736
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8024
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8484
313.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6011
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6000
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
899
15.5 IPS |
