ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
35850
Single Precision Score
48014
Half Precision Score
26957
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| Power Plan | High performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13501
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
17540
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
11436
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19672
318.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23270
377.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18135
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
318225
371.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
527605
615.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
276919
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
17520
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
21958
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
14920
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
44486
528.6 IPS |
|
|
Face Detection (HP)
|
100% |
52778
627.1 IPS |
|
|
Face Detection (Q)
|
97% |
38065
453.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
94620
729.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
159285
1.23 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67723
546.7 IPS |
|
|
Style Transfer (SP)
|
100% |
573304
737.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1059000
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
485148
625.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59857
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78056
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43392
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
4552
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1975
44.0 IPS |
