ASUS System Product Name
Geekbench AI Score
13957
Single Precision Score
13953
Half Precision Score
33520
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:02 AM |
| Views | 2 |
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% |
9610
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9604
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
20262
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8876
143.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8873
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19210
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19017
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18958
22.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
75612
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
8683
688.8 IPS |
|
|
Object Detection (HP)
|
100% |
8679
688.4 IPS |
|
|
Object Detection (Q)
|
88% |
22528
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
20303
241.2 IPS |
|
|
Face Detection (HP)
|
100% |
19790
235.1 IPS |
|
|
Face Detection (Q)
|
100% |
55558
660.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22120
170.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22167
170.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
65596
510.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52362
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53053
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
192752
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12085
446.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12036
444.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35247
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7222
9.64 KIPS |
|
|
Text Classification (HP)
|
100% |
7221
9.64 KIPS |
|
|
Text Classification (Q)
|
92% |
9458
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
9704
167.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9868
170.0 IPS |
|
|
Machine Translation (Q)
|
100% |
11537
198.7 IPS |
