ASUS System Product Name
Geekbench AI Score
48790
Single Precision Score
72829
Half Precision Score
36284
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dot-bob |
| Upload Date | September 26 2025 02:16 AM |
| Views | 3 |
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 X670E-CREATOR WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17252
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
22071
4.10 KIPS |
|
|
Image Classification (Q)
|
100% |
15015
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37949
615.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
48944
793.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
35290
573.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
413969
483.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1020420
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
334186
391.5 IPS |
|
|
Object Detection (SP)
|
100% |
24826
1.97 KIPS |
|
|
Object Detection (HP)
|
100% |
32336
2.56 KIPS |
|
|
Object Detection (Q)
|
85% |
20656
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
74945
890.5 IPS |
|
|
Face Detection (HP)
|
100% |
99874
1.19 KIPS |
|
|
Face Detection (Q)
|
97% |
59689
711.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
109958
847.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
195677
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79394
635.9 IPS |
|
|
Style Transfer (SP)
|
100% |
619637
796.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1749739
2.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
520366
671.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74255
2.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98679
3.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54139
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4704
6.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2467
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
7452
128.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7420
127.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3283
61.6 IPS |
