ASUS System Product Name
Geekbench AI Score
45261
Single Precision Score
66232
Half Precision Score
33858
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Orkeyfy |
| Upload Date | January 06 2026 08:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16036
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
20383
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
13930
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32839
532.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
40569
657.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
30008
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
404998
472.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
968603
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326369
382.3 IPS |
|
|
Object Detection (SP)
|
100% |
22440
1.78 KIPS |
|
|
Object Detection (HP)
|
100% |
29131
2.31 KIPS |
|
|
Object Detection (Q)
|
85% |
19096
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
71071
844.5 IPS |
|
|
Face Detection (HP)
|
100% |
92360
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
56881
678.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
107321
826.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
185544
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77509
620.8 IPS |
|
|
Style Transfer (SP)
|
100% |
584688
751.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1592749
2.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
494161
637.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69855
2.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90342
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50915
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4240
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2270
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6645
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6659
114.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3018
56.6 IPS |
