ASUS System Product Name
Geekbench AI Score
6302
Single Precision Score
1302
Half Precision Score
7825
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | November 19 2024 10:29 AM |
| Views | 3 |
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% |
3386
629.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
99% |
5628
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
4629
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
52239
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
3846
305.1 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
88% |
3336
267.4 IPS |
|
|
Face Detection (SP)
|
100% |
7030
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
6689
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14896
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
14519
117.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38193
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22450
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35535
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7478
276.9 IPS |
|
|
Text Classification (SP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3905
87.1 IPS |
