BIOSTAR Group TZ590-PRO DUO
Geekbench AI Score
2367
Single Precision Score
2448
Half Precision Score
3525
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | January 01 2026 10:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10100F CPU @ 3.60GHz |
| 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% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.4 IPS |
|
|
Image Classification (Q)
|
100% |
1552
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2713
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2840
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
5954
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (Q)
|
87% |
2434
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
6340
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3927
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3799
29.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
6765
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8838
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8727
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17208
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3495
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (Q)
|
91% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2440
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2387
41.1 IPS |
