Gigabyte Technology Co., Ltd. B760M D2HX SI DDR4
Geekbench AI Score
11549
Single Precision Score
10824
Half Precision Score
7887
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | March 05 2026 10:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA TITAN X (Pascal) |
| 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% |
3461
643.6 IPS |
|
|
Image Classification (HP)
|
100% |
4514
839.5 IPS |
|
|
Image Classification (Q)
|
99% |
2890
539.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7704
124.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7506
121.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5734
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
90041
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49306
57.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64301
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
4267
338.4 IPS |
|
|
Object Detection (HP)
|
100% |
5863
465.1 IPS |
|
|
Object Detection (Q)
|
84% |
3472
280.1 IPS |
|
|
Face Detection (SP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
11941
141.9 IPS |
|
|
Face Detection (Q)
|
97% |
6679
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26193
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21650
167.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
18472
148.0 IPS |
|
|
Style Transfer (SP)
|
100% |
144244
185.4 IPS |
|
|
Style Transfer (HP)
|
100% |
70408
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
100157
129.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23782
878.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16225
599.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12983
480.7 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1044
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3381
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1504
28.2 IPS |
