RTX 2060 SUPER Gigabyte Technology Co., Ltd. B365M DS3H
Geekbench AI Score
12580
Single Precision Score
20858
Half Precision Score
8598
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | November 18 2024 01:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| 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% |
5500
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
8970
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
3976
739.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7969
129.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10335
167.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6641
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
60583
70.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
200037
233.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
50815
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
6380
506.0 IPS |
|
|
Object Detection (HP)
|
100% |
10447
828.7 IPS |
|
|
Object Detection (Q)
|
89% |
4525
362.2 IPS |
|
|
Face Detection (SP)
|
100% |
14281
169.7 IPS |
|
|
Face Detection (HP)
|
100% |
20673
245.6 IPS |
|
|
Face Detection (Q)
|
97% |
11041
131.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32551
250.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59488
458.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
21406
172.2 IPS |
|
|
Style Transfer (SP)
|
100% |
112984
145.2 IPS |
|
|
Style Transfer (HP)
|
100% |
262764
337.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93524
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19774
730.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30341
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12107
448.3 IPS |
|
|
Text Classification (SP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
2999
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1232
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1104
24.6 IPS |
