ASUS System Product Name
Geekbench AI Score
5654
Single Precision Score
5463
Half Precision Score
8216
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 07:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ausbalanciert |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3860
717.8 IPS |
|
|
Image Classification (HP)
|
100% |
3924
729.7 IPS |
|
|
Image Classification (Q)
|
100% |
5762
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6484
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10355
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10333
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
22105
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
4080
323.7 IPS |
|
|
Object Detection (HP)
|
100% |
4001
317.4 IPS |
|
|
Object Detection (Q)
|
87% |
6503
521.6 IPS |
|
|
Face Detection (SP)
|
100% |
10194
121.1 IPS |
|
|
Face Detection (HP)
|
100% |
10529
125.1 IPS |
|
|
Face Detection (Q)
|
97% |
19833
236.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11245
86.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
11125
85.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
19284
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29904
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29897
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
61077
78.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11395
422.1 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
91% |
473
635.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (Q)
|
90% |
2073
36.0 IPS |
