ASUS System Product Name
Geekbench AI Score
28753
Single Precision Score
33731
Half Precision Score
23234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hais |
| Upload Date | June 07 2025 10:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII FORMULA |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13004
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
13783
2.56 KIPS |
|
|
Image Classification (Q)
|
99% |
11098
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14044
227.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13433
217.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13077
212.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
257653
300.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
443491
517.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
238267
279.1 IPS |
|
|
Object Detection (SP)
|
100% |
14773
1.17 KIPS |
|
|
Object Detection (HP)
|
99% |
15690
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
12921
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
35954
427.2 IPS |
|
|
Face Detection (HP)
|
100% |
38863
461.8 IPS |
|
|
Face Detection (Q)
|
97% |
32414
386.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
69316
534.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
90803
699.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
57637
461.9 IPS |
|
|
Style Transfer (SP)
|
100% |
414543
532.9 IPS |
|
|
Style Transfer (HP)
|
100% |
587293
755.0 IPS |
|
|
Style Transfer (Q)
|
98% |
368127
474.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45626
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58966
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34702
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1953
36.6 IPS |
