ASUS System Product Name
Geekbench AI Score
5075
Single Precision Score
1728
Half Precision Score
7295
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Smooopz |
| Upload Date | January 29 2025 02:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | High 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% |
3908
726.8 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
99% |
8882
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3248
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12281
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8505
9.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
41936
49.2 IPS |
|
|
Object Detection (SP)
|
100% |
3818
302.9 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
8249
662.9 IPS |
|
|
Face Detection (SP)
|
100% |
7494
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
11365
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12507
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19111
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25288
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21046
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39721
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2677
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3818
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.0 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3207
64.4 IPS |
