ASUS System Product Name
Geekbench AI Score
34116
Single Precision Score
38585
Half Precision Score
27500
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:22 AM |
| Views | 3 |
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. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15009
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
15399
2.86 KIPS |
|
|
Image Classification (Q)
|
99% |
13016
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21283
345.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19164
310.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19554
318.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
259915
303.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
375919
438.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
232566
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
16635
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
17883
1.42 KIPS |
|
|
Object Detection (Q)
|
87% |
14911
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
44817
532.5 IPS |
|
|
Face Detection (HP)
|
100% |
49995
594.1 IPS |
|
|
Face Detection (Q)
|
97% |
39913
475.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79680
613.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97300
749.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
63741
510.8 IPS |
|
|
Style Transfer (SP)
|
100% |
427560
549.6 IPS |
|
|
Style Transfer (HP)
|
100% |
594124
763.8 IPS |
|
|
Style Transfer (Q)
|
98% |
367016
473.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46250
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59550
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37657
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4435
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2818
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4974
85.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2829
53.1 IPS |
