ASUS System Product Name
Geekbench AI Score
14973
Single Precision Score
14999
Half Precision Score
32473
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:26 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7428
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8065
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
15661
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8403
136.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8770
142.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19321
313.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33881
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33542
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
131837
154.3 IPS |
|
|
Object Detection (SP)
|
100% |
8609
682.8 IPS |
|
|
Object Detection (HP)
|
100% |
9039
716.9 IPS |
|
|
Object Detection (Q)
|
88% |
18627
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
20076
238.5 IPS |
|
|
Face Detection (HP)
|
100% |
21391
254.2 IPS |
|
|
Face Detection (Q)
|
100% |
47750
567.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26856
206.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25552
196.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
69447
540.4 IPS |
|
|
Style Transfer (SP)
|
100% |
87034
111.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87198
112.1 IPS |
|
|
Style Transfer (Q)
|
98% |
304731
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15561
574.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15163
559.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40548
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5554
7.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5015
6.69 KIPS |
|
|
Text Classification (Q)
|
92% |
6029
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
7673
132.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7416
127.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7105
122.4 IPS |
