Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
10594
Single Precision Score
9773
Half Precision Score
7958
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 15 2024 04:04 PM |
| Views | 8 |
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 i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4666
867.7 IPS |
|
|
Image Classification (HP)
|
100% |
4374
813.4 IPS |
|
|
Image Classification (Q)
|
99% |
3859
719.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7035
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11493
186.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6531
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67920
79.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
101519
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
56149
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
5761
457.0 IPS |
|
|
Object Detection (HP)
|
99% |
5735
456.2 IPS |
|
|
Object Detection (Q)
|
89% |
5379
430.5 IPS |
|
|
Face Detection (SP)
|
100% |
14712
174.8 IPS |
|
|
Face Detection (HP)
|
87% |
13960
167.9 IPS |
|
|
Face Detection (Q)
|
97% |
10008
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26185
201.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28167
217.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
21384
172.2 IPS |
|
|
Style Transfer (SP)
|
100% |
157097
202.0 IPS |
|
|
Style Transfer (HP)
|
35% |
26743
237.1 IPS |
|
|
Style Transfer (Q)
|
98% |
121392
156.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16358
604.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21057
777.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10782
399.3 IPS |
|
|
Text Classification (SP)
|
86% |
745
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.9 IPS |
|
|
Text Classification (Q)
|
83% |
573
780.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (Q)
|
60% |
834
18.6 IPS |
