ASUS System Product Name
Geekbench AI Score
21958
Single Precision Score
30506
Half Precision Score
13683
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Luigi9212 |
| Upload Date | March 11 2025 03:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8649
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
11510
2.15 KIPS |
|
|
Image Classification (Q)
|
100% |
5963
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12389
200.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14696
238.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9213
149.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
179270
209.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
331029
386.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
132095
154.8 IPS |
|
|
Object Detection (SP)
|
100% |
10715
849.9 IPS |
|
|
Object Detection (HP)
|
100% |
14229
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
7422
597.0 IPS |
|
|
Face Detection (SP)
|
100% |
28301
336.3 IPS |
|
|
Face Detection (HP)
|
100% |
37328
443.5 IPS |
|
|
Face Detection (Q)
|
97% |
19038
227.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
57772
445.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97228
749.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
34542
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
268535
345.2 IPS |
|
|
Style Transfer (HP)
|
100% |
567726
729.8 IPS |
|
|
Style Transfer (Q)
|
98% |
190054
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34562
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44209
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19659
728.0 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3179
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1299
24.4 IPS |
