Gigabyte Technology Co., Ltd. B760M AORUS ELITE WIFI6E D4 GEN5
Geekbench AI Score
12288
Single Precision Score
12463
Half Precision Score
9433
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:35 AM |
| 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% |
5366
997.9 IPS |
|
|
Image Classification (HP)
|
100% |
5385
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
4538
846.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7945
128.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11964
194.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7131
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83733
97.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
82907
96.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66785
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
6751
535.5 IPS |
|
|
Object Detection (HP)
|
99% |
6928
551.1 IPS |
|
|
Object Detection (Q)
|
85% |
5782
465.3 IPS |
|
|
Face Detection (SP)
|
100% |
17740
210.8 IPS |
|
|
Face Detection (HP)
|
100% |
18263
217.0 IPS |
|
|
Face Detection (Q)
|
97% |
14019
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30219
232.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
28938
223.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23746
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
174898
224.8 IPS |
|
|
Style Transfer (HP)
|
100% |
165767
213.1 IPS |
|
|
Style Transfer (Q)
|
98% |
133657
172.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17108
631.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22681
837.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12676
469.4 IPS |
|
|
Text Classification (SP)
|
86% |
820
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.1 IPS |
|
|
Text Classification (Q)
|
84% |
641
869.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1235
23.2 IPS |
