ASUS System Product Name
Geekbench AI Score
35735
Single Precision Score
58458
Half Precision Score
27539
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jacben13 |
| Upload Date | February 28 2025 06:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14228
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21087
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12722
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23364
378.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
31369
508.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21820
354.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
239302
279.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
693730
809.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
203274
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
19188
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
29017
2.30 KIPS |
|
|
Object Detection (Q)
|
86% |
16514
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53059
630.5 IPS |
|
|
Face Detection (HP)
|
100% |
75377
895.6 IPS |
|
|
Face Detection (Q)
|
97% |
44386
529.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
92567
713.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
156834
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69649
556.2 IPS |
|
|
Style Transfer (SP)
|
100% |
346755
445.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1142507
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
304300
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57911
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86265
3.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42310
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5805
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5905
101.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2855
53.5 IPS |
