Ryzen 9 7900x AVX2 ASUS System Product Name
Geekbench AI Score
32114
Single Precision Score
47456
Half Precision Score
24445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tebruno99 |
| Upload Date | March 27 2025 11:29 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| 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 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12347
2.30 KIPS |
|
|
Image Classification (HP)
|
99% |
17543
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
10851
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23500
381.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31689
513.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21127
343.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
191250
223.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
469387
547.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
172333
201.9 IPS |
|
|
Object Detection (SP)
|
100% |
15486
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
22805
1.81 KIPS |
|
|
Object Detection (Q)
|
85% |
13108
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
46371
551.0 IPS |
|
|
Face Detection (HP)
|
100% |
61524
731.0 IPS |
|
|
Face Detection (Q)
|
97% |
39527
471.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
80127
617.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
129577
1.00 KIPS |
|
|
Depth Estimation (Q)
|
77% |
61163
489.0 IPS |
|
|
Style Transfer (SP)
|
100% |
348235
447.7 IPS |
|
|
Style Transfer (HP)
|
100% |
793143
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
306068
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50290
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61715
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35614
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2023
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6125
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6078
104.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2760
51.8 IPS |
