iPhone17,1
Geekbench AI Score
5786
Single Precision Score
6804
Half Precision Score
6082
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | October 08 2024 05:47 PM |
| Views | 3 |
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% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.7 IPS |
|
|
Image Classification (Q)
|
97% |
2652
494.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4404
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4302
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15634
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16292
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15246
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (HP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (Q)
|
91% |
2865
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
7825
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10651
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7420
88.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13350
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14788
113.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11463
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33254
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39378
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35061
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8035
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8415
310.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6719
248.1 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
