ASUS System Product Name
Geekbench AI Score
32998
Single Precision Score
47962
Half Precision Score
25071
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | audax72 |
| Upload Date | November 10 2024 11:50 AM |
| Views | 3 |
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. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12327
2.29 KIPS |
|
|
Image Classification (HP)
|
99% |
17015
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10500
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21644
350.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27752
449.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20434
332.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
262593
306.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
506154
590.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
228292
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
16116
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
22836
1.81 KIPS |
|
|
Object Detection (Q)
|
89% |
13186
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
44456
528.2 IPS |
|
|
Face Detection (HP)
|
100% |
56424
670.4 IPS |
|
|
Face Detection (Q)
|
97% |
37149
442.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
75796
584.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
147856
1.14 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57718
465.0 IPS |
|
|
Style Transfer (SP)
|
100% |
393753
506.2 IPS |
|
|
Style Transfer (HP)
|
100% |
890432
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
346445
446.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54102
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70592
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40749
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5601
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5525
95.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2324
51.8 IPS |
