ASUS System Product Name
Geekbench AI Score
26701
Single Precision Score
38573
Half Precision Score
15995
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lnrsoft |
| Upload Date | February 20 2025 05:47 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10246
1.91 KIPS |
|
|
Image Classification (HP)
|
99% |
13935
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
6872
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16977
275.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22830
370.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11317
184.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
203664
237.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
377359
440.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
147241
172.5 IPS |
|
|
Object Detection (SP)
|
100% |
13323
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
17851
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
8838
710.9 IPS |
|
|
Face Detection (SP)
|
100% |
34395
408.7 IPS |
|
|
Face Detection (HP)
|
100% |
48657
578.2 IPS |
|
|
Face Detection (Q)
|
97% |
23257
277.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
68594
528.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111500
859.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
40055
320.8 IPS |
|
|
Style Transfer (SP)
|
100% |
298683
384.0 IPS |
|
|
Style Transfer (HP)
|
100% |
677819
871.3 IPS |
|
|
Style Transfer (Q)
|
98% |
209350
270.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42247
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57473
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23532
871.4 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1490
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4427
76.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1584
29.7 IPS |
