ASUS System Product Name
Geekbench AI Score
26778
Single Precision Score
40219
Half Precision Score
15308
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | August 15 2024 06:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10214
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
14229
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
6392
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18094
293.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25822
418.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13150
213.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
189940
221.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
386360
450.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
134123
157.1 IPS |
|
|
Object Detection (SP)
|
100% |
13877
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
19847
1.57 KIPS |
|
|
Object Detection (Q)
|
89% |
8711
697.4 IPS |
|
|
Face Detection (SP)
|
100% |
33370
396.5 IPS |
|
|
Face Detection (HP)
|
100% |
48977
582.0 IPS |
|
|
Face Detection (Q)
|
97% |
20932
249.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
60804
468.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104998
808.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
33481
270.0 IPS |
|
|
Style Transfer (SP)
|
100% |
299987
385.6 IPS |
|
|
Style Transfer (HP)
|
100% |
703440
904.3 IPS |
|
|
Style Transfer (Q)
|
98% |
207829
268.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42785
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59356
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23266
861.5 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1538
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1381
30.8 IPS |
