ASUS System Product Name
Geekbench AI Score
49690
Single Precision Score
74345
Half Precision Score
36740
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 08:19 PM |
| Views | 2 |
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. ProArt X870E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17990
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
22754
4.23 KIPS |
|
|
Image Classification (Q)
|
100% |
15496
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37911
614.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
48410
784.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
35302
574.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
420991
491.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
1026212
1.20 KIPS |
|
|
Pose Estimation (Q)
|
96% |
339966
398.2 IPS |
|
|
Object Detection (SP)
|
100% |
25282
2.01 KIPS |
|
|
Object Detection (HP)
|
100% |
32429
2.57 KIPS |
|
|
Object Detection (Q)
|
85% |
20827
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
76113
904.4 IPS |
|
|
Face Detection (HP)
|
100% |
102470
1.22 KIPS |
|
|
Face Detection (Q)
|
97% |
60478
721.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
111153
856.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
196534
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79456
636.4 IPS |
|
|
Style Transfer (SP)
|
100% |
639094
821.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1819476
2.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
534198
688.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75824
2.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104208
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56208
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4212
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4959
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2459
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7321
126.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7432
128.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3261
61.2 IPS |
