ASUS PRIME H310M-R R2.0 System manufacturer System Product Name
Geekbench AI Score
1823
Single Precision Score
899
Half Precision Score
2933
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 20 2026 09:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| 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% |
1468
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.6 IPS |
|
|
Image Classification (Q)
|
96% |
2429
453.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
2661
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2800
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
6642
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
58% |
1867
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
96% |
3193
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4066
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1288
9.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
5892
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7237
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
6218
7.99 IPS |
|
|
Style Transfer (Q)
|
87% |
7428
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2882
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.5 IPS |
|
|
Text Classification (Q)
|
97% |
1036
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1409
27.2 IPS |
