ASUS System Product Name
Geekbench AI Score
14849
Single Precision Score
14958
Half Precision Score
32827
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 03:27 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 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% |
7449
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7120
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
15830
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9098
147.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19289
312.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33576
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33835
39.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
135515
158.7 IPS |
|
|
Object Detection (SP)
|
100% |
9033
716.5 IPS |
|
|
Object Detection (HP)
|
100% |
8881
704.4 IPS |
|
|
Object Detection (Q)
|
88% |
18743
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
19221
228.4 IPS |
|
|
Face Detection (HP)
|
100% |
20374
242.1 IPS |
|
|
Face Detection (Q)
|
100% |
48250
573.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26805
206.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25728
198.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
68587
533.7 IPS |
|
|
Style Transfer (SP)
|
100% |
87859
112.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86663
111.4 IPS |
|
|
Style Transfer (Q)
|
98% |
305640
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15129
558.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15645
577.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41462
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6082
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6999
120.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7134
122.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7348
126.6 IPS |
