ASUS System Product Name
Geekbench AI Score
6196
Single Precision Score
1290
Half Precision Score
7742
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | November 29 2024 01:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3281
610.2 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
99% |
5601
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
4537
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15558
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
51779
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
3838
304.4 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
88% |
3325
266.6 IPS |
|
|
Face Detection (SP)
|
100% |
6882
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
6708
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14971
115.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1463
11.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
14485
116.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38290
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20477
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35194
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5929
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7395
273.8 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3754
83.7 IPS |
