Gigabyte Technology Co., Ltd. AB350M-DS3H V2
Geekbench AI Score
3643
Single Precision Score
3620
Half Precision Score
4534
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | February 02 2025 06:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900XT 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350M-DS3H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350M-DS3H V2-CF |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900XT |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
2060
383.0 IPS |
|
|
Image Classification (Q)
|
100% |
3093
575.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4298
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7406
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
6895
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
9901
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
2149
170.4 IPS |
|
|
Object Detection (Q)
|
87% |
3474
278.6 IPS |
|
|
Face Detection (SP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (Q)
|
97% |
11200
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6525
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6443
49.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
9491
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20543
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20804
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27841
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5210
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
91% |
303
407.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1719
29.6 IPS |
