ASUS System Product Name
Geekbench AI Score
12346
Single Precision Score
12355
Half Precision Score
29584
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 23 2025 06:13 AM |
| Views | 10 |
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% |
7527
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7691
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
18412
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8241
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8283
134.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20741
336.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15199
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14886
17.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
61059
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
7767
616.1 IPS |
|
|
Object Detection (HP)
|
100% |
7830
621.0 IPS |
|
|
Object Detection (Q)
|
88% |
19844
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
21889
260.1 IPS |
|
|
Face Detection (HP)
|
100% |
22297
264.9 IPS |
|
|
Face Detection (Q)
|
100% |
48184
572.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19688
151.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19896
153.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
51619
401.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43523
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43186
55.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149978
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9592
354.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9549
352.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27404
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
92% |
8329
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
10447
179.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10495
180.8 IPS |
|
|
Machine Translation (Q)
|
100% |
13039
224.6 IPS |
