MTX ASUS System Product Name
Geekbench AI Score
25683
Single Precision Score
38749
Half Precision Score
19256
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | saulmaz |
| Upload Date | August 15 2024 05:36 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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 | Paskirstytas |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9871
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
15055
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
8555
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18219
295.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23755
385.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16698
271.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
155233
181.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
344913
402.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
136267
159.6 IPS |
|
|
Object Detection (SP)
|
100% |
12425
985.5 IPS |
|
|
Object Detection (HP)
|
100% |
19274
1.53 KIPS |
|
|
Object Detection (Q)
|
88% |
10733
860.7 IPS |
|
|
Face Detection (SP)
|
100% |
30841
366.5 IPS |
|
|
Face Detection (HP)
|
100% |
45172
536.7 IPS |
|
|
Face Detection (Q)
|
97% |
25345
302.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
57422
442.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103411
796.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
43371
363.1 IPS |
|
|
Style Transfer (SP)
|
100% |
263609
338.9 IPS |
|
|
Style Transfer (HP)
|
100% |
572671
736.2 IPS |
|
|
Style Transfer (Q)
|
98% |
232850
300.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45535
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54029
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31650
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4462
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4978
85.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1892
42.2 IPS |
