ASUS System Product Name
Geekbench AI Score
26410
Single Precision Score
38910
Half Precision Score
15437
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 09:59 AM |
| 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 X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9976
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
13804
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
6326
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17523
284.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24539
397.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12778
207.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
198243
231.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
383014
446.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
145799
170.7 IPS |
|
|
Object Detection (SP)
|
100% |
13430
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
18640
1.48 KIPS |
|
|
Object Detection (Q)
|
89% |
8717
697.8 IPS |
|
|
Face Detection (SP)
|
100% |
34084
405.0 IPS |
|
|
Face Detection (HP)
|
100% |
47495
564.3 IPS |
|
|
Face Detection (Q)
|
97% |
21481
256.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62114
478.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108203
833.6 IPS |
|
|
Depth Estimation (Q)
|
69% |
34553
292.7 IPS |
|
|
Style Transfer (SP)
|
100% |
298528
383.8 IPS |
|
|
Style Transfer (HP)
|
100% |
685482
881.2 IPS |
|
|
Style Transfer (Q)
|
98% |
209528
270.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41459
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55955
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23097
855.2 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1515
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1375
30.7 IPS |
