ASUS PRIME H310M-R R2.0 System manufacturer System Product Name
Geekbench AI Score
2479
Single Precision Score
2470
Half Precision Score
4141
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 20 2026 09:11 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9400F CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H310M-R R2.0 |
| Power Plan | Maximlis teljestmny |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1752
325.9 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (Q)
|
100% |
3052
567.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
6568
7.70 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
87% |
3144
252.2 IPS |
|
|
Face Detection (SP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
7415
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4268
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4033
31.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
7829
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10255
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11006
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22350
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4412
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
91% |
741
996.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1832
31.6 IPS |
