Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench AI Score
31206
Single Precision Score
49767
Half Precision Score
24365
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | r3design |
| Upload Date | August 24 2025 01:32 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12443
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
17157
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
11169
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20422
331.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26506
429.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17688
287.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
186361
217.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
675915
788.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
169307
198.3 IPS |
|
|
Object Detection (SP)
|
100% |
16425
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
23439
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
13682
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
45378
539.2 IPS |
|
|
Face Detection (HP)
|
100% |
59984
712.7 IPS |
|
|
Face Detection (Q)
|
97% |
38038
453.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
87511
674.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
144693
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65452
522.7 IPS |
|
|
Style Transfer (SP)
|
100% |
337907
434.4 IPS |
|
|
Style Transfer (HP)
|
100% |
969961
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
282624
364.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48365
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72344
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37391
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2211
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5446
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2770
51.9 IPS |
