MSI MS-7914
Geekbench AI Score
514
Single Precision Score
376
Half Precision Score
718
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ideafix_name |
| Upload Date | March 10 2025 05:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3258 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | MSI MS-7914 |
| Motherboard | MSI Z97 XPOWER AC (MS-7914) |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3258 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
96% |
515
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
471
7.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
961
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
58% |
365
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (Q)
|
96% |
1221
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
1148
9.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1541
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1445
1.86 IPS |
|
|
Style Transfer (Q)
|
87% |
2193
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
536
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.1 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.5 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.6 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
68% |
754
14.6 IPS |
