ASUS System Product Name
Geekbench AI Score
34016
Single Precision Score
38414
Half Precision Score
26544
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 11:31 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. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13905
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
15300
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
12042
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21887
354.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19402
314.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20099
326.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
270316
315.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
399173
465.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
227594
266.7 IPS |
|
|
Object Detection (SP)
|
100% |
16704
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
17625
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
14460
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
42031
499.4 IPS |
|
|
Face Detection (HP)
|
100% |
46123
548.0 IPS |
|
|
Face Detection (Q)
|
97% |
35915
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
78877
607.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
90232
695.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
63423
519.7 IPS |
|
|
Style Transfer (SP)
|
100% |
424154
545.3 IPS |
|
|
Style Transfer (HP)
|
100% |
621817
799.4 IPS |
|
|
Style Transfer (Q)
|
98% |
380570
490.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49430
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62171
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39845
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4457
5.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4247
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2807
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4872
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2249
50.2 IPS |
