Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E D4 GEN5
Geekbench AI Score
10907
Single Precision Score
11215
Half Precision Score
8620
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E D4 GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E D4 GEN5 |
| CPU Information | |
|---|---|
| Name | Intel(R) 300 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4762
885.6 IPS |
|
|
Image Classification (HP)
|
100% |
4649
864.6 IPS |
|
|
Image Classification (Q)
|
99% |
4134
771.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6223
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8824
143.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5773
93.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
79984
93.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
80663
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65086
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
5938
471.0 IPS |
|
|
Object Detection (HP)
|
99% |
6107
485.8 IPS |
|
|
Object Detection (Q)
|
85% |
5167
415.8 IPS |
|
|
Face Detection (SP)
|
100% |
15000
178.2 IPS |
|
|
Face Detection (HP)
|
100% |
14605
173.5 IPS |
|
|
Face Detection (Q)
|
97% |
12346
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28623
220.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
28388
219.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22604
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
166785
214.4 IPS |
|
|
Style Transfer (HP)
|
100% |
157282
202.2 IPS |
|
|
Style Transfer (Q)
|
98% |
127015
163.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15961
589.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21370
789.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12006
444.6 IPS |
|
|
Text Classification (SP)
|
86% |
783
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.1 IPS |
|
|
Text Classification (Q)
|
84% |
615
835.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1079
20.2 IPS |
