ASUS System Product Name
Geekbench AI Score
3158
Single Precision Score
1264
Half Precision Score
4203
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-A |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
96% |
4077
761.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2320
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5853
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4495
5.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
10876
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
58% |
2719
297.1 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
6842
81.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7482
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1674
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9243
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13838
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11362
14.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13853
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2814
104.3 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.2 IPS |
|
|
Text Classification (Q)
|
97% |
1152
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2167
41.9 IPS |
