ASUS System Product Name
Geekbench AI Score
37752
Single Precision Score
51732
Half Precision Score
28054
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lautajo |
| Upload Date | October 16 2024 04:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Paras suoritusteho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14055
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
18888
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11831
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22356
362.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27075
438.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20446
332.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
317760
370.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
534132
623.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
275531
322.6 IPS |
|
|
Object Detection (SP)
|
100% |
18991
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24658
1.96 KIPS |
|
|
Object Detection (Q)
|
89% |
16060
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
48617
577.7 IPS |
|
|
Face Detection (HP)
|
100% |
59642
708.7 IPS |
|
|
Face Detection (Q)
|
97% |
41107
490.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93163
717.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
161415
1.24 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67755
547.0 IPS |
|
|
Style Transfer (SP)
|
100% |
572018
735.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1082655
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
483623
623.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61634
2.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80981
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44565
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2219
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2118
47.3 IPS |
