Gigabyte Technology Co., Ltd. B760M DS3H DDR4
Geekbench AI Score
17392
Single Precision Score
30066
Half Precision Score
11179
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 02 2025 12:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M DS3H DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-13100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6766
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11487
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
5074
943.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11712
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19378
314.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9578
155.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
88249
103.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
250286
292.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73744
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
8650
686.1 IPS |
|
|
Object Detection (HP)
|
100% |
15135
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
6785
546.2 IPS |
|
|
Face Detection (SP)
|
100% |
21913
260.4 IPS |
|
|
Face Detection (HP)
|
100% |
34566
410.7 IPS |
|
|
Face Detection (Q)
|
97% |
15512
185.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41588
320.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80757
622.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26644
213.3 IPS |
|
|
Style Transfer (SP)
|
100% |
141774
182.3 IPS |
|
|
Style Transfer (HP)
|
100% |
376024
483.4 IPS |
|
|
Style Transfer (Q)
|
98% |
114812
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27432
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39189
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16167
598.7 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1161
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4234
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1408
26.4 IPS |
