ASUS System Product Name
Geekbench AI Score
26261
Single Precision Score
39677
Half Precision Score
15611
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9931
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
13848
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6559
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19226
311.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28144
456.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13375
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
165871
193.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
366113
427.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
127584
149.5 IPS |
|
|
Object Detection (SP)
|
100% |
13197
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
18454
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
8728
702.1 IPS |
|
|
Face Detection (SP)
|
100% |
36702
436.1 IPS |
|
|
Face Detection (HP)
|
100% |
52956
629.2 IPS |
|
|
Face Detection (Q)
|
97% |
23690
282.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65403
503.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107975
831.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
38024
304.5 IPS |
|
|
Style Transfer (SP)
|
100% |
276278
355.2 IPS |
|
|
Style Transfer (HP)
|
100% |
650232
835.9 IPS |
|
|
Style Transfer (Q)
|
98% |
191209
246.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39320
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55780
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22149
820.1 IPS |
|
|
Text Classification (SP)
|
100% |
2856
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1616
30.3 IPS |
