ASUS System Product Name
Geekbench AI Score
4331
Single Precision Score
4357
Half Precision Score
5410
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | November 27 2024 12:03 AM |
| Views | 5 |
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 | Balanced |
| 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% |
2498
464.6 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.7 IPS |
|
|
Image Classification (Q)
|
100% |
3726
692.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4632
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15154
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15115
17.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
19031
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2893
229.4 IPS |
|
|
Object Detection (HP)
|
100% |
2867
227.4 IPS |
|
|
Object Detection (Q)
|
87% |
4441
356.2 IPS |
|
|
Face Detection (SP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
97% |
15521
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8896
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8852
68.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13468
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38307
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39546
50.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51386
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6528
241.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6462
238.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8519
315.6 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.1 IPS |
|
|
Text Classification (HP)
|
100% |
659
879.2 IPS |
|
|
Text Classification (Q)
|
91% |
130
174.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1238
21.3 IPS |
