ASUS System Product Name
Geekbench AI Score
35347
Single Precision Score
35443
Half Precision Score
27599
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 08:01 PM |
| Views | 2 |
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 STRIX B650E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14057
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
15429
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
12060
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22388
362.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6826
110.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20935
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
289199
337.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
404990
472.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
257135
301.3 IPS |
|
|
Object Detection (SP)
|
100% |
17674
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
18901
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
14332
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
43621
518.3 IPS |
|
|
Face Detection (HP)
|
100% |
48532
576.7 IPS |
|
|
Face Detection (Q)
|
97% |
37268
444.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
81072
624.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94439
727.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
64863
523.0 IPS |
|
|
Style Transfer (SP)
|
100% |
466084
599.2 IPS |
|
|
Style Transfer (HP)
|
100% |
641889
825.2 IPS |
|
|
Style Transfer (Q)
|
98% |
410942
529.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53049
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61337
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40002
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4369
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2863
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4955
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4957
85.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2423
54.0 IPS |
