ASUS System Product Name
Geekbench AI Score
8290
Single Precision Score
8299
Half Precision Score
14854
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 01:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6102
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
5949
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10163
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6359
103.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6329
102.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7140
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15355
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15413
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33579
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
5570
441.8 IPS |
|
|
Object Detection (HP)
|
100% |
5503
436.5 IPS |
|
|
Object Detection (Q)
|
88% |
10490
840.9 IPS |
|
|
Face Detection (SP)
|
100% |
15924
189.2 IPS |
|
|
Face Detection (HP)
|
100% |
15912
189.1 IPS |
|
|
Face Detection (Q)
|
100% |
28460
338.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15542
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15533
119.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
31006
241.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43754
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43591
56.0 IPS |
|
|
Style Transfer (Q)
|
98% |
93148
120.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9352
345.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8815
325.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16964
628.2 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
4635
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3167
54.5 IPS |
