Gigabyte Technology Co., Ltd. B365M DS3H
Geekbench AI Score
2180
Single Precision Score
1061
Half Precision Score
2320
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | November 18 2024 12:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B365M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B365M DS3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600KF |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
96% |
1908
356.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
1578
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4471
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (Q)
|
87% |
8078
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
1350
108.5 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
2656
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4451
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1495
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4009
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10434
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8160
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
10967
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2239
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.6 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
60% |
1324
29.5 IPS |
