ASUS System Product Name
Geekbench AI Score
37629
Single Precision Score
51142
Half Precision Score
28079
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:57 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-E GAMING |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13404
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
17378
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
11295
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23065
373.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28276
458.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20132
327.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
326096
380.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
554189
646.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
270345
316.6 IPS |
|
|
Object Detection (SP)
|
100% |
18710
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
24306
1.93 KIPS |
|
|
Object Detection (Q)
|
89% |
15970
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
51430
611.1 IPS |
|
|
Face Detection (HP)
|
100% |
62356
740.9 IPS |
|
|
Face Detection (Q)
|
97% |
43114
514.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
96626
744.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
161723
1.25 KIPS |
|
|
Depth Estimation (Q)
|
75% |
70610
570.0 IPS |
|
|
Style Transfer (SP)
|
100% |
547573
703.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1077616
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
472039
608.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60645
2.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78518
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44959
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2136
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5348
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2249
50.2 IPS |
