ASUS System Product Name
Geekbench AI Score
34138
Single Precision Score
45617
Half Precision Score
26059
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Scorpion95 |
| Upload Date | August 17 2024 06:07 AM |
| Views | 2 |
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 CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12241
2.28 KIPS |
|
|
Image Classification (HP)
|
99% |
15485
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
10428
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19863
322.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23467
380.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18338
298.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
305862
356.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
510967
596.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
266749
312.4 IPS |
|
|
Object Detection (SP)
|
100% |
17182
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21704
1.72 KIPS |
|
|
Object Detection (Q)
|
89% |
14771
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
43643
518.6 IPS |
|
|
Face Detection (HP)
|
100% |
51786
615.3 IPS |
|
|
Face Detection (Q)
|
97% |
36939
440.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
87189
671.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
148401
1.14 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65488
528.7 IPS |
|
|
Style Transfer (SP)
|
100% |
538801
692.6 IPS |
|
|
Style Transfer (HP)
|
100% |
979808
1.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
463962
598.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55569
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71131
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41648
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4659
80.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2013
44.9 IPS |
