ASUS System Product Name
Geekbench AI Score
15190
Single Precision Score
15225
Half Precision Score
36641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | April 14 2025 08:21 PM |
| Views | 3 |
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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
7785
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7707
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
19051
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10020
162.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9968
161.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29416
476.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
31583
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32285
37.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
122310
143.2 IPS |
|
|
Object Detection (SP)
|
100% |
8805
698.4 IPS |
|
|
Object Detection (HP)
|
100% |
8934
708.7 IPS |
|
|
Object Detection (Q)
|
88% |
21939
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
19805
235.3 IPS |
|
|
Face Detection (HP)
|
100% |
18528
220.1 IPS |
|
|
Face Detection (Q)
|
100% |
54365
646.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27144
209.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27032
208.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
74391
579.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80499
103.5 IPS |
|
|
Style Transfer (HP)
|
100% |
79634
102.4 IPS |
|
|
Style Transfer (Q)
|
98% |
285705
368.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15140
559.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15438
570.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41829
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4999
6.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5080
6.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5964
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
9206
158.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9661
166.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10065
173.4 IPS |
