BIOSTAR Group B760MX2-E
Geekbench AI Score
5047
Single Precision Score
1479
Half Precision Score
8158
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 03:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B760MX2-E |
| Motherboard | BIOSTAR Group B760MX2-E |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4253
790.9 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
99% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4312
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9051
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
32228
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3989
316.4 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
7699
618.8 IPS |
|
|
Face Detection (SP)
|
100% |
11182
132.9 IPS |
|
|
Face Detection (HP)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
11881
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11442
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1826
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18643
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19765
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10255
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24694
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4662
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
717
956.6 IPS |
|
|
Text Classification (Q)
|
97% |
1829
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3511
70.5 IPS |
