iPhone17,1
Geekbench AI Score
5808
Single Precision Score
6619
Half Precision Score
6199
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 27 2024 12:59 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% |
3020
561.7 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.3 IPS |
|
|
Image Classification (Q)
|
97% |
2653
495.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3420
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4394
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4347
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15663
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16386
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15410
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3181
252.3 IPS |
|
|
Object Detection (HP)
|
100% |
3499
277.5 IPS |
|
|
Object Detection (Q)
|
91% |
2798
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
7942
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
10561
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
7545
89.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13263
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15235
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11681
91.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32306
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38280
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37016
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8389
309.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6850
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6055
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
