ASUS System Product Name
Geekbench AI Score
5765
Single Precision Score
5839
Half Precision Score
8532
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | April 02 2026 04:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A AC |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3740
695.6 IPS |
|
|
Image Classification (HP)
|
100% |
3768
700.7 IPS |
|
|
Image Classification (Q)
|
100% |
5669
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4445
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4429
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6712
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6872
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
15186
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
87% |
5825
467.2 IPS |
|
|
Face Detection (SP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (Q)
|
97% |
15926
189.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8716
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8752
67.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
15973
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20990
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21093
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42936
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4431
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8516
315.4 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (Q)
|
91% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5102
87.9 IPS |
