iPhone17,1
Geekbench AI Score
5823
Single Precision Score
6812
Half Precision Score
6060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3075
571.9 IPS |
|
|
Image Classification (HP)
|
100% |
2789
518.7 IPS |
|
|
Image Classification (Q)
|
97% |
2838
529.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3496
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4419
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4383
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15748
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16526
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15488
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (Q)
|
91% |
2860
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
7928
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
10640
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
7173
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13458
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14921
115.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12680
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33045
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39276
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35542
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8043
297.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8422
311.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6781
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5977
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
