ASUS System Product Name
Geekbench AI Score
3965
Single Precision Score
3877
Half Precision Score
4367
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 12:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3960X 24-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.7 IPS |
|
|
Image Classification (Q)
|
100% |
3200
595.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5237
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9167
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8969
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
10761
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (Q)
|
87% |
4131
331.3 IPS |
|
|
Face Detection (SP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
5545
65.9 IPS |
|
|
Face Detection (Q)
|
97% |
13020
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7238
55.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
10140
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25613
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32819
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6288
232.9 IPS |
|
|
Text Classification (SP)
|
100% |
1656
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
125
167.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
996
17.2 IPS |
