ASUS System Product Name
Geekbench AI Score
4230
Single Precision Score
4256
Half Precision Score
4892
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | August 15 2024 10:43 PM |
| 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 |
| Power Plan | AMD Ryzen 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (Q)
|
100% |
3487
648.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4644
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14534
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14474
16.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
18732
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (Q)
|
87% |
4105
329.3 IPS |
|
|
Face Detection (SP)
|
100% |
5878
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
13875
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8099
62.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
7962
61.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
13173
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38103
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38435
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51438
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6251
230.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6505
240.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8033
297.6 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.2 IPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
91% |
136
182.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
90% |
614
10.7 IPS |
