ASUS System Product Name
Geekbench AI Score
3368
Single Precision Score
1405
Half Precision Score
5406
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Freakshow85 |
| Upload Date | January 27 2025 02:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2466
458.6 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
96% |
5074
947.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2919
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5040
5.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
15584
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
58% |
4067
444.3 IPS |
|
|
Face Detection (SP)
|
100% |
5648
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
96% |
9114
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7576
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2068
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11381
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14878
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13180
16.9 IPS |
|
|
Style Transfer (Q)
|
87% |
20344
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3057
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
624
833.4 IPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2757
53.3 IPS |
