ASUS System Product Name
Geekbench AI Score
35913
Single Precision Score
48568
Half Precision Score
27060
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Malcolm123 |
| Upload Date | August 15 2024 07:10 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 HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13791
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
18132
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11600
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18680
302.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22133
358.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17429
283.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
316000
368.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
524977
612.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
271772
318.2 IPS |
|
|
Object Detection (SP)
|
100% |
17292
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
22217
1.76 KIPS |
|
|
Object Detection (Q)
|
89% |
14958
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
43874
521.3 IPS |
|
|
Face Detection (HP)
|
100% |
52106
619.1 IPS |
|
|
Face Detection (Q)
|
97% |
37459
446.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
93173
717.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
157999
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68410
552.2 IPS |
|
|
Style Transfer (SP)
|
100% |
555638
714.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1012625
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
455835
587.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60546
2.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81354
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44851
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4466
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2030
45.3 IPS |
