ASUS System Product Name
Geekbench AI Score
14117
Single Precision Score
14108
Half Precision Score
34124
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:01 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% |
9578
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9687
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
20673
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9103
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9042
146.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19576
317.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19174
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19072
22.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
75847
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
8738
693.1 IPS |
|
|
Object Detection (HP)
|
100% |
8753
694.3 IPS |
|
|
Object Detection (Q)
|
88% |
22998
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
20337
241.7 IPS |
|
|
Face Detection (HP)
|
100% |
19929
236.8 IPS |
|
|
Face Detection (Q)
|
100% |
55899
664.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21864
168.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21959
169.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
65400
508.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53659
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53618
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
194186
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12143
448.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12049
444.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36132
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
7473
9.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7450
9.94 KIPS |
|
|
Text Classification (Q)
|
92% |
9982
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
9945
171.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10143
174.7 IPS |
|
|
Machine Translation (Q)
|
100% |
11845
204.0 IPS |
