ASUS System Product Name
Geekbench AI Score
40828
Single Precision Score
59879
Half Precision Score
30876
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | adel101 |
| Upload Date | December 17 2025 01:42 PM |
| Views | 9 |
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 STRIX X670E-A GAMING WIFI |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14138
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
18272
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
12547
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37147
602.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
47971
777.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
33890
551.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
369364
431.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
801036
934.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
260543
305.2 IPS |
|
|
Object Detection (SP)
|
100% |
17190
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
25849
2.05 KIPS |
|
|
Object Detection (Q)
|
85% |
16676
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
66893
794.8 IPS |
|
|
Face Detection (HP)
|
100% |
82243
977.2 IPS |
|
|
Face Detection (Q)
|
97% |
52837
630.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
94225
725.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
163613
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67349
539.4 IPS |
|
|
Style Transfer (SP)
|
100% |
527908
678.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1431013
1.84 KIPS |
|
|
Style Transfer (Q)
|
98% |
443656
572.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59677
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76818
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44274
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6664
114.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6347
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3247
60.9 IPS |
