ASUS System Product Name
Geekbench AI Score
28846
Single Precision Score
33717
Half Precision Score
23053
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hais |
| Upload Date | June 07 2025 11:00 AM |
| Views | 4 |
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% |
13116
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
13859
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
11178
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13956
226.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13272
215.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12883
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
257615
300.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
432469
504.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
236555
277.1 IPS |
|
|
Object Detection (SP)
|
100% |
14778
1.17 KIPS |
|
|
Object Detection (HP)
|
99% |
15331
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
12540
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
35858
426.1 IPS |
|
|
Face Detection (HP)
|
100% |
38783
460.8 IPS |
|
|
Face Detection (Q)
|
97% |
32632
389.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
69207
533.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
91442
704.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
58245
466.8 IPS |
|
|
Style Transfer (SP)
|
100% |
415156
533.7 IPS |
|
|
Style Transfer (HP)
|
100% |
597056
767.5 IPS |
|
|
Style Transfer (Q)
|
98% |
364867
470.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46709
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59107
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33546
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1934
36.3 IPS |
