ASUS System Product Name
Geekbench AI Score
12333
Single Precision Score
12325
Half Precision Score
30077
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 17 2025 05:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7508
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7608
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18064
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8317
134.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8331
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21869
354.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14477
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14276
16.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
59206
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
7329
581.4 IPS |
|
|
Object Detection (HP)
|
100% |
7850
622.7 IPS |
|
|
Object Detection (Q)
|
88% |
20110
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
24249
288.1 IPS |
|
|
Face Detection (HP)
|
100% |
23355
277.5 IPS |
|
|
Face Detection (Q)
|
100% |
52241
620.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19712
151.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19396
149.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
53709
418.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41785
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42879
55.1 IPS |
|
|
Style Transfer (Q)
|
98% |
145955
188.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9564
353.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9259
341.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28928
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
6107
8.15 KIPS |
|
|
Text Classification (HP)
|
100% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
92% |
8515
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
10541
181.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10410
179.3 IPS |
|
|
Machine Translation (Q)
|
100% |
12771
220.0 IPS |
