ASUS System Product Name
Geekbench AI Score
14255
Single Precision Score
14286
Half Precision Score
34649
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9847
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
10000
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
21036
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9187
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9148
148.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20225
327.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19630
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19738
23.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
77724
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
8920
707.6 IPS |
|
|
Object Detection (HP)
|
100% |
8940
709.1 IPS |
|
|
Object Detection (Q)
|
88% |
23453
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
19996
237.6 IPS |
|
|
Face Detection (HP)
|
100% |
19758
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
56890
676.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22348
172.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22298
171.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67582
525.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54844
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55052
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
199990
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12444
459.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12342
455.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36220
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
7107
9.49 KIPS |
|
|
Text Classification (HP)
|
100% |
7168
9.57 KIPS |
|
|
Text Classification (Q)
|
92% |
9769
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
10095
173.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10223
176.1 IPS |
|
|
Machine Translation (Q)
|
100% |
11821
203.6 IPS |
