BIOSTAR Group TZ590-BTC DUO
Geekbench ML Score
12640
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | BIOSTAR Group TZ590-BTC DUO |
| Motherboard | BIOSTAR Group TZ590-BTC DUO |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5808
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
5929
1.11 KIPS |
|
|
Image Classification (I8)
|
100% |
4106
768.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6869
114.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6829
114.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
5781
96.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
141043
170.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
140450
170.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
105519
127.8 IPS |
|
|
Object Detection (F32)
|
100% |
3811
284.5 IPS |
|
|
Object Detection (F16)
|
100% |
3748
279.8 IPS |
|
|
Object Detection (I8)
|
56% |
3284
245.1 IPS |
|
|
Face Detection (F32)
|
100% |
16825
200.1 IPS |
|
|
Face Detection (F16)
|
100% |
16991
202.0 IPS |
|
|
Face Detection (I8)
|
89% |
12638
150.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
43955
340.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
43594
338.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
28666
222.3 IPS |
|
|
Style Transfer (F32)
|
100% |
214692
282.4 IPS |
|
|
Style Transfer (F16)
|
100% |
210458
276.8 IPS |
|
|
Style Transfer (I8)
|
98% |
155645
204.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28183
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28512
1.02 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
17187
613.8 IPS |
|
|
Text Classification (F32)
|
100% |
2054
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
2032
2.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1007
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1851
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1857
34.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1078
19.8 IPS |
