ASUS System Product Name
Geekbench AI Score
35200
Single Precision Score
39866
Half Precision Score
28047
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | LanShar |
| Upload Date | November 18 2024 12:50 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Utilisation normale |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14329
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15894
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
12856
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22787
369.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20882
338.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20867
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
288909
337.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
397387
463.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
253572
297.1 IPS |
|
|
Object Detection (SP)
|
100% |
17402
1.38 KIPS |
|
|
Object Detection (HP)
|
99% |
19027
1.51 KIPS |
|
|
Object Detection (Q)
|
89% |
14585
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
44024
523.1 IPS |
|
|
Face Detection (HP)
|
100% |
48936
581.5 IPS |
|
|
Face Detection (Q)
|
97% |
37949
452.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
76048
585.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93746
722.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
64316
518.5 IPS |
|
|
Style Transfer (SP)
|
100% |
468831
602.7 IPS |
|
|
Style Transfer (HP)
|
100% |
649217
834.6 IPS |
|
|
Style Transfer (Q)
|
98% |
413032
532.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52763
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62106
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42825
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4445
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2778
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5246
90.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2532
56.5 IPS |
