Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4
Geekbench AI Score
3199
Single Precision Score
1351
Half Precision Score
6218
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | February 08 2026 11:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400TEF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2473
459.9 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
5082
948.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6565
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4860
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
17462
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (Q)
|
86% |
5217
419.3 IPS |
|
|
Face Detection (SP)
|
100% |
5754
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7392
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6480
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1869
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12298
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11900
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8210
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19140
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4619
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.1 IPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2728
54.8 IPS |
