ASUS System Product Name
Geekbench AI Score
12411
Single Precision Score
12648
Half Precision Score
32582
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | CocaCola |
| Upload Date | August 04 2025 04:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 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 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7328
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
6930
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
17693
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9230
149.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10371
168.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27327
443.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20344
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19821
23.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
83285
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
7413
588.0 IPS |
|
|
Object Detection (HP)
|
100% |
7331
581.5 IPS |
|
|
Object Detection (Q)
|
88% |
19561
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
17005
202.1 IPS |
|
|
Face Detection (HP)
|
100% |
18321
217.7 IPS |
|
|
Face Detection (Q)
|
100% |
50618
601.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20421
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20817
160.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67228
523.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52688
67.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54950
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
252936
326.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12684
468.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13152
485.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38236
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4688
6.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
92% |
6079
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
7818
134.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7693
132.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8558
147.4 IPS |
