Malfurion 4.0 ASUS System Product Name
Geekbench AI Score
41933
Single Precision Score
58547
Half Precision Score
31226
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Geeooff |
| Upload Date | March 23 2025 04:40 AM |
| Views | 6 |
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 X870E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14928
2.78 KIPS |
|
|
Image Classification (HP)
|
99% |
19602
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
12616
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28384
460.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37033
600.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
25777
419.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
324964
379.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
563914
658.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
280288
328.4 IPS |
|
|
Object Detection (SP)
|
100% |
21436
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
28279
2.24 KIPS |
|
|
Object Detection (Q)
|
86% |
17570
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
61617
732.1 IPS |
|
|
Face Detection (HP)
|
100% |
79966
950.2 IPS |
|
|
Face Detection (Q)
|
97% |
51148
609.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
102353
788.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
167714
1.29 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73981
591.7 IPS |
|
|
Style Transfer (SP)
|
100% |
591338
760.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1172329
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
497519
641.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63829
2.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87551
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47016
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
4696
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2221
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6507
112.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2800
52.5 IPS |
