ASUS System Product Name
Geekbench AI Score
33995
Single Precision Score
44592
Half Precision Score
26327
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | SoulRipper |
| Upload Date | January 25 2025 11:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12555
2.33 KIPS |
|
|
Image Classification (HP)
|
99% |
16079
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
10916
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21184
343.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16821
273.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
303375
354.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
504450
588.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
264230
309.6 IPS |
|
|
Object Detection (SP)
|
100% |
16335
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
20383
1.62 KIPS |
|
|
Object Detection (Q)
|
86% |
14021
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
43520
517.1 IPS |
|
|
Face Detection (HP)
|
100% |
52329
621.8 IPS |
|
|
Face Detection (Q)
|
97% |
36726
437.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
91153
702.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
151072
1.16 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67688
541.4 IPS |
|
|
Style Transfer (SP)
|
100% |
540222
694.5 IPS |
|
|
Style Transfer (HP)
|
100% |
986230
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
464165
598.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55962
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72334
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41921
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4208
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2289
42.9 IPS |
