iPhone17,1
Geekbench AI Score
5849
Single Precision Score
6406
Half Precision Score
6165
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:50 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (Q)
|
97% |
2879
537.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3483
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4401
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4430
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15396
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15399
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15205
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (HP)
|
100% |
3509
278.4 IPS |
|
|
Object Detection (Q)
|
91% |
2899
231.7 IPS |
|
|
Face Detection (SP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
10850
128.9 IPS |
|
|
Face Detection (Q)
|
100% |
7806
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14026
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15254
117.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13198
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32514
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37820
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37119
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8095
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8315
307.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6826
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5808
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5806
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
932
16.1 IPS |
