Gigabyte Technology Co., Ltd. B365M DS3H
Geekbench AI Score
2193
Single Precision Score
1079
Half Precision Score
2326
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | November 18 2024 01:58 AM |
| Views | 4 |
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% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
96% |
1905
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
1559
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4542
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (Q)
|
87% |
8124
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
86% |
1356
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
2667
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4503
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1516
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4054
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10518
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8446
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
10926
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2259
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
575
766.9 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (Q)
|
60% |
1334
29.8 IPS |
