ASUS System Product Name
Geekbench AI Score
37355
Single Precision Score
50820
Half Precision Score
27817
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:21 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Hchstleistung |
| 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% |
12967
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
16704
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
10848
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23354
378.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
29304
475.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21793
354.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
315765
368.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
535310
624.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
274716
321.7 IPS |
|
|
Object Detection (SP)
|
100% |
18616
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
24413
1.94 KIPS |
|
|
Object Detection (Q)
|
89% |
15838
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
51425
611.0 IPS |
|
|
Face Detection (HP)
|
100% |
63156
750.4 IPS |
|
|
Face Detection (Q)
|
97% |
42507
506.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
94058
724.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
156324
1.20 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67654
546.1 IPS |
|
|
Style Transfer (SP)
|
100% |
575935
740.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1093215
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
485230
625.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59808
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78755
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43695
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2092
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5261
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5102
87.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2115
47.2 IPS |
