ASUS System Product Name
Geekbench AI Score
10619
Single Precision Score
10479
Half Precision Score
24229
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 14 2026 03:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5876
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
5995
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
13789
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7844
127.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7764
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20834
337.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17773
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17718
20.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
63716
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
6656
528.0 IPS |
|
|
Object Detection (HP)
|
100% |
6224
493.7 IPS |
|
|
Object Detection (Q)
|
88% |
15004
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
16143
191.8 IPS |
|
|
Face Detection (HP)
|
100% |
15513
184.3 IPS |
|
|
Face Detection (Q)
|
100% |
40185
477.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18870
145.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19172
147.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
48521
377.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44654
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44072
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
159487
205.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9180
339.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9288
343.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23371
865.5 IPS |
|
|
Text Classification (SP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
4639
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6668
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6586
113.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7531
129.7 IPS |
