ASUS System Product Name
Geekbench AI Score
33230
Single Precision Score
47189
Half Precision Score
25223
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | Poursang |
| Upload Date | October 03 2024 06:08 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12265
2.28 KIPS |
|
|
Image Classification (HP)
|
99% |
16742
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
10503
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21458
347.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26962
437.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19972
324.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
275133
321.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
480991
561.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
238815
279.7 IPS |
|
|
Object Detection (SP)
|
100% |
15909
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
22217
1.76 KIPS |
|
|
Object Detection (Q)
|
89% |
12974
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
44167
524.8 IPS |
|
|
Face Detection (HP)
|
100% |
55444
658.8 IPS |
|
|
Face Detection (Q)
|
97% |
37209
443.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
78556
605.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
142616
1.10 KIPS |
|
|
Depth Estimation (Q)
|
76% |
59691
480.9 IPS |
|
|
Style Transfer (SP)
|
100% |
404418
519.9 IPS |
|
|
Style Transfer (HP)
|
100% |
892925
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
354348
456.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53279
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69835
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40244
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4294
5.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2203
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5453
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2299
51.3 IPS |
