ASUS System Product Name
Geekbench AI Score
5874
Single Precision Score
5893
Half Precision Score
8672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 04:13 PM |
| Views | 5 |
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% |
3829
712.1 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.2 IPS |
|
|
Image Classification (Q)
|
100% |
5668
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4380
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4474
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6728
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7014
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
7029
8.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
15169
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (HP)
|
100% |
3420
271.3 IPS |
|
|
Object Detection (Q)
|
87% |
5909
473.9 IPS |
|
|
Face Detection (SP)
|
100% |
8129
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
7939
94.3 IPS |
|
|
Face Detection (Q)
|
97% |
16495
196.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8712
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8874
68.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
16162
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21114
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42849
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4370
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8579
317.8 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (Q)
|
91% |
1374
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5367
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5560
95.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5227
90.0 IPS |
