ASUS System Product Name
Geekbench AI Score
47530
Single Precision Score
70249
Half Precision Score
35187
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | adel101 |
| Upload Date | December 17 2025 07:11 PM |
| Views | 8 |
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% |
16415
3.05 KIPS |
|
|
Image Classification (HP)
|
100% |
21309
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
14486
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39310
637.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
50848
824.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
36082
586.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
412473
481.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
986248
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
332520
389.5 IPS |
|
|
Object Detection (SP)
|
100% |
23278
1.85 KIPS |
|
|
Object Detection (HP)
|
100% |
29900
2.37 KIPS |
|
|
Object Detection (Q)
|
85% |
19596
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
73327
871.3 IPS |
|
|
Face Detection (HP)
|
100% |
97364
1.16 KIPS |
|
|
Face Detection (Q)
|
97% |
57961
691.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
107570
828.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
189153
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77443
620.3 IPS |
|
|
Style Transfer (SP)
|
100% |
598448
769.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1639062
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
502180
647.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70584
2.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90961
3.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51262
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4467
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2312
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
7451
128.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7469
128.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3198
60.0 IPS |
