MSI MS-7846
Geekbench AI Score
292
Single Precision Score
210
Half Precision Score
406
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | saulmaz |
| Upload Date | April 16 2025 06:18 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G1840 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7846 |
| Motherboard | KMP H81M PRO-VD (MS-7846) |
| Power Plan | Didelis efektyvumas |
| CPU Information | |
|---|---|
| Name | Intel Celeron G1840 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.5 IPS |
|
|
Image Classification (Q)
|
96% |
291
54.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
253
4.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
539
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.03 IPS |
|
|
Object Detection (Q)
|
58% |
208
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
96% |
686
8.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
438
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
306
2.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
644
5.13 IPS |
|
|
Style Transfer (SP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (Q)
|
87% |
1232
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.1 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.9 IPS |
|
|
Text Classification (Q)
|
97% |
195
261.8 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (Q)
|
68% |
470
9.09 IPS |
