ASUS System Product Name
Geekbench AI Score
36155
Single Precision Score
48662
Half Precision Score
27441
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows AVX2
Result Information
| User | SoulRipper |
| Upload Date | July 01 2025 10:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12939
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
16692
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
11145
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21805
353.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26343
427.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17946
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
310649
362.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
527923
616.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
270100
316.5 IPS |
|
|
Object Detection (SP)
|
100% |
17570
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
22245
1.76 KIPS |
|
|
Object Detection (Q)
|
86% |
14937
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
48475
576.0 IPS |
|
|
Face Detection (HP)
|
100% |
59706
709.4 IPS |
|
|
Face Detection (Q)
|
97% |
42022
501.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
92561
713.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
154456
1.19 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68350
546.7 IPS |
|
|
Style Transfer (SP)
|
100% |
552383
710.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1019660
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
472441
609.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56625
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73589
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42000
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2109
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5084
87.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2497
46.8 IPS |
