BIOSTAR Group TZ590-PRO DUO
Geekbench AI Score
1490
Single Precision Score
793
Half Precision Score
2004
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | January 01 2026 10:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | BIOSTAR Group TZ590-PRO DUO |
| Motherboard | BIOSTAR Group TZ590-PRO DUO |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1301
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
4106
4.85 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.2 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
1181
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
851
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
3568
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2698
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1154
8.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
3985
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5631
7.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4021
5.17 IPS |
|
|
Style Transfer (Q)
|
87% |
7542
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.2 IPS |
|
|
Text Classification (Q)
|
97% |
359
481.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
68% |
1401
27.1 IPS |
