ASUS System Product Name
Geekbench AI Score
7041
Single Precision Score
7063
Half Precision Score
9481
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EAG |
| Upload Date | November 12 2025 06:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4040
751.2 IPS |
|
|
Image Classification (HP)
|
100% |
4311
801.7 IPS |
|
|
Image Classification (Q)
|
100% |
6513
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5744
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5719
92.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10083
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11861
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12125
14.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
27213
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
4600
364.9 IPS |
|
|
Object Detection (HP)
|
100% |
4675
370.9 IPS |
|
|
Object Detection (Q)
|
87% |
7439
596.6 IPS |
|
|
Face Detection (SP)
|
100% |
10475
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
10653
126.6 IPS |
|
|
Face Detection (Q)
|
97% |
21073
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12093
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12233
94.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
23418
184.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35153
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35196
45.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76014
98.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13232
490.1 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (Q)
|
91% |
302
406.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2945
50.7 IPS |
