ASUS System Product Name
Geekbench AI Score
31423
Single Precision Score
46617
Half Precision Score
24581
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Strix_263 |
| Upload Date | March 08 2025 11:51 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12371
2.30 KIPS |
|
|
Image Classification (HP)
|
99% |
17606
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10782
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20584
333.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26244
425.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19859
322.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
253245
295.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
487567
568.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
222694
260.9 IPS |
|
|
Object Detection (SP)
|
100% |
15760
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
22827
1.81 KIPS |
|
|
Object Detection (Q)
|
85% |
12805
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
42484
504.8 IPS |
|
|
Face Detection (HP)
|
100% |
55530
659.8 IPS |
|
|
Face Detection (Q)
|
97% |
36937
440.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
74967
577.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
139592
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57594
459.9 IPS |
|
|
Style Transfer (SP)
|
100% |
369497
475.0 IPS |
|
|
Style Transfer (HP)
|
100% |
859462
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
333213
429.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49523
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68610
2.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37733
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1994
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2474
46.4 IPS |
