BIOSTAR Group TZ590-PRO DUO
Geekbench AI Score
18998
Single Precision Score
31909
Half Precision Score
15398
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | January 01 2026 10:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
7773
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
12915
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
7166
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11088
179.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14047
227.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10464
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
119096
139.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
352193
411.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
111387
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
9552
757.6 IPS |
|
|
Object Detection (HP)
|
100% |
14389
1.14 KIPS |
|
|
Object Detection (Q)
|
83% |
8426
680.8 IPS |
|
|
Face Detection (SP)
|
100% |
22668
269.3 IPS |
|
|
Face Detection (HP)
|
100% |
31395
373.0 IPS |
|
|
Face Detection (Q)
|
97% |
20461
244.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
51965
400.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100169
771.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
42556
339.7 IPS |
|
|
Style Transfer (SP)
|
100% |
169081
217.4 IPS |
|
|
Style Transfer (HP)
|
100% |
517967
665.9 IPS |
|
|
Style Transfer (Q)
|
98% |
147036
189.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30211
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54921
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23756
879.7 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2181
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1606
30.1 IPS |
