Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
11044
Single Precision Score
11931
Half Precision Score
8223
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 01 2025 10:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4718
877.4 IPS |
|
|
Image Classification (HP)
|
100% |
4784
889.7 IPS |
|
|
Image Classification (Q)
|
99% |
3934
733.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7271
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11631
188.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6587
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69501
81.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
78496
91.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57315
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
6162
488.8 IPS |
|
|
Object Detection (HP)
|
99% |
6417
510.5 IPS |
|
|
Object Detection (Q)
|
89% |
5433
434.8 IPS |
|
|
Face Detection (SP)
|
100% |
15200
180.6 IPS |
|
|
Face Detection (HP)
|
100% |
15465
183.8 IPS |
|
|
Face Detection (Q)
|
97% |
11285
134.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27341
210.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27832
215.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
20425
164.5 IPS |
|
|
Style Transfer (SP)
|
100% |
158171
203.3 IPS |
|
|
Style Transfer (HP)
|
100% |
144023
185.1 IPS |
|
|
Style Transfer (Q)
|
98% |
120772
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16424
606.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22622
835.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11491
425.5 IPS |
|
|
Text Classification (SP)
|
86% |
770
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
732
976.6 IPS |
|
|
Text Classification (Q)
|
83% |
599
815.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (Q)
|
60% |
915
20.4 IPS |
