Threadripper Workstation ASUS System Product Name
Geekbench AI Score
19333
Single Precision Score
27440
Half Precision Score
12661
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | penguinhunter |
| Upload Date | February 21 2025 06:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8132
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
10852
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
5722
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9649
156.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12106
196.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7810
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
158503
184.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
314660
367.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
118173
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
9752
773.5 IPS |
|
|
Object Detection (HP)
|
100% |
12546
995.1 IPS |
|
|
Object Detection (Q)
|
85% |
6750
543.0 IPS |
|
|
Face Detection (SP)
|
100% |
24733
293.9 IPS |
|
|
Face Detection (HP)
|
100% |
31439
373.6 IPS |
|
|
Face Detection (Q)
|
97% |
17329
206.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
56797
437.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
91276
703.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
34075
272.9 IPS |
|
|
Style Transfer (SP)
|
100% |
240478
309.1 IPS |
|
|
Style Transfer (HP)
|
100% |
524696
674.5 IPS |
|
|
Style Transfer (Q)
|
98% |
173053
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31688
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41425
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19418
719.0 IPS |
|
|
Text Classification (SP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
2986
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1278
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1171
22.0 IPS |
