ASUS System Product Name
Geekbench AI Score
30139
Single Precision Score
34390
Half Precision Score
23836
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | morglor |
| Upload Date | August 20 2024 07:01 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13428
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14339
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11270
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15569
252.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14395
233.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14469
235.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
232975
271.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
361974
422.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
211452
247.8 IPS |
|
|
Object Detection (SP)
|
100% |
15593
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
16134
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
13145
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
36550
434.3 IPS |
|
|
Face Detection (HP)
|
100% |
39616
470.7 IPS |
|
|
Face Detection (Q)
|
97% |
31890
380.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
72664
559.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
91422
704.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
59293
485.9 IPS |
|
|
Style Transfer (SP)
|
100% |
402345
517.2 IPS |
|
|
Style Transfer (HP)
|
100% |
582116
748.3 IPS |
|
|
Style Transfer (Q)
|
98% |
339199
437.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46407
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56553
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36836
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4550
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4480
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2948
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1876
41.8 IPS |
