ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
35839
Single Precision Score
48038
Half Precision Score
27012
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:24 AM |
| Views | 4 |
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% |
13476
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
17590
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
11297
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19488
315.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22885
371.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18004
292.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
321117
374.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
521625
608.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
277817
325.3 IPS |
|
|
Object Detection (SP)
|
100% |
17622
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
21949
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
15036
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
44194
525.1 IPS |
|
|
Face Detection (HP)
|
100% |
53069
630.6 IPS |
|
|
Face Detection (Q)
|
97% |
37673
449.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
93779
722.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
156940
1.21 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68434
552.4 IPS |
|
|
Style Transfer (SP)
|
100% |
574095
738.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1062573
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
483057
622.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59932
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78581
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44041
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2217
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2002
44.7 IPS |
