ASUS System Product Name
Geekbench AI Score
13005
Single Precision Score
12910
Half Precision Score
32046
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 21 2025 12:17 AM |
| Views | 8 |
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% |
8080
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8239
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
19973
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9181
148.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8683
140.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24530
397.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15069
17.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
61996
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
8133
645.1 IPS |
|
|
Object Detection (HP)
|
100% |
8034
637.3 IPS |
|
|
Object Detection (Q)
|
88% |
20972
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
23576
280.1 IPS |
|
|
Face Detection (HP)
|
100% |
23785
282.6 IPS |
|
|
Face Detection (Q)
|
100% |
53850
639.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20431
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20155
155.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
58840
457.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44269
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43718
56.2 IPS |
|
|
Style Transfer (Q)
|
98% |
154463
199.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9841
363.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9988
368.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29983
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
6453
8.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
92% |
9005
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
11329
195.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11026
189.9 IPS |
|
|
Machine Translation (Q)
|
100% |
13571
233.8 IPS |
