Gigabyte Technology Co., Ltd. AB350M-DS3H V2
Geekbench AI Score
9192
Single Precision Score
11263
Half Precision Score
7028
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | February 02 2025 06:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| 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% |
3541
658.5 IPS |
|
|
Image Classification (HP)
|
100% |
4404
819.0 IPS |
|
|
Image Classification (Q)
|
100% |
3116
579.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5071
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4204
68.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4353
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
50459
58.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
85882
100.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
41548
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
3627
287.7 IPS |
|
|
Object Detection (HP)
|
100% |
4308
341.7 IPS |
|
|
Object Detection (Q)
|
87% |
3212
257.9 IPS |
|
|
Face Detection (SP)
|
100% |
9286
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
12433
147.7 IPS |
|
|
Face Detection (Q)
|
97% |
7731
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24204
186.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33016
254.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
18653
149.8 IPS |
|
|
Style Transfer (SP)
|
100% |
97420
125.2 IPS |
|
|
Style Transfer (HP)
|
100% |
125743
161.6 IPS |
|
|
Style Transfer (Q)
|
98% |
75528
97.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16936
625.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21515
794.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11211
415.1 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1861
32.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1136
21.3 IPS |
