ASUS System Product Name
Geekbench AI Score
33889
Single Precision Score
49709
Half Precision Score
26273
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mikeg25 |
| Upload Date | February 27 2025 11:59 PM |
| Views | 3 |
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. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13256
2.47 KIPS |
|
|
Image Classification (HP)
|
99% |
18983
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11560
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20879
338.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26827
434.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19337
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
253034
295.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
480083
560.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
228914
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
17389
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
24701
1.96 KIPS |
|
|
Object Detection (Q)
|
85% |
14875
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
47895
569.1 IPS |
|
|
Face Detection (HP)
|
100% |
62324
740.5 IPS |
|
|
Face Detection (Q)
|
97% |
40954
488.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
83225
641.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
148133
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63641
508.2 IPS |
|
|
Style Transfer (SP)
|
100% |
392781
504.9 IPS |
|
|
Style Transfer (HP)
|
100% |
874476
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
343115
442.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55632
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75959
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41555
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4690
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2201
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5343
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2518
47.2 IPS |
