ASUS System Product Name
Geekbench AI Score
40861
Single Precision Score
55844
Half Precision Score
30640
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 09:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanceret |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14622
2.72 KIPS |
|
|
Image Classification (HP)
|
99% |
19171
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
12494
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26588
431.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34173
554.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24199
393.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
332252
387.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
595327
694.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
282215
330.7 IPS |
|
|
Object Detection (SP)
|
100% |
19929
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
25503
2.02 KIPS |
|
|
Object Detection (Q)
|
86% |
16725
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
57970
688.8 IPS |
|
|
Face Detection (HP)
|
100% |
72577
862.4 IPS |
|
|
Face Detection (Q)
|
97% |
48524
578.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
105845
815.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
165865
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76972
615.6 IPS |
|
|
Style Transfer (SP)
|
100% |
596155
766.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1131621
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
511998
660.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61724
2.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81212
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45676
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2678
50.2 IPS |
