ASUS System Product Name
Geekbench AI Score
7578
Single Precision Score
2758
Half Precision Score
10570
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | joostl |
| Upload Date | January 29 2025 09:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5370
998.7 IPS |
|
|
Image Classification (HP)
|
100% |
871
162.0 IPS |
|
|
Image Classification (Q)
|
99% |
12525
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4361
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25131
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15668
18.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
77637
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
5686
451.0 IPS |
|
|
Object Detection (HP)
|
100% |
1080
85.6 IPS |
|
|
Object Detection (Q)
|
86% |
11972
962.1 IPS |
|
|
Face Detection (SP)
|
100% |
10215
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
13986
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16736
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4123
31.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
29859
238.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44728
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35518
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
49048
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6398
236.9 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
585
783.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4474
89.9 IPS |
