ASUS System Product Name
Geekbench AI Score
9161
Single Precision Score
9218
Half Precision Score
22479
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Death_Angel_83 |
| Upload Date | January 05 2026 09:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5222
971.2 IPS |
|
|
Image Classification (HP)
|
100% |
5331
991.4 IPS |
|
|
Image Classification (Q)
|
100% |
13036
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6870
111.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6929
112.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19933
323.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15282
17.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
60587
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
5770
457.7 IPS |
|
|
Object Detection (HP)
|
100% |
5628
446.4 IPS |
|
|
Object Detection (Q)
|
88% |
13786
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
13966
165.9 IPS |
|
|
Face Detection (HP)
|
100% |
13626
161.9 IPS |
|
|
Face Detection (Q)
|
100% |
36115
429.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15755
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15690
120.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
43910
341.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38453
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38122
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
144801
186.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8076
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8044
297.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23566
872.8 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4328
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5629
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5947
102.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6482
111.7 IPS |
