ASUS System Product Name
Geekbench AI Score
14812
Single Precision Score
14800
Half Precision Score
34624
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | March 21 2025 12:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
8976
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
9000
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
21333
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9978
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10043
162.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26344
427.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18195
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18249
21.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
72058
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
9371
743.3 IPS |
|
|
Object Detection (HP)
|
100% |
9351
741.7 IPS |
|
|
Object Detection (Q)
|
88% |
23088
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
28085
333.7 IPS |
|
|
Face Detection (HP)
|
100% |
27888
331.4 IPS |
|
|
Face Detection (Q)
|
100% |
55636
661.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24581
189.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24738
190.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
66284
515.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51570
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50501
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
177232
228.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11297
417.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11325
418.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32246
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6748
9.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6740
9.00 KIPS |
|
|
Text Classification (Q)
|
92% |
8870
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12269
211.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12293
211.7 IPS |
|
|
Machine Translation (Q)
|
100% |
14168
244.0 IPS |
