Micro-Star International Co., Ltd. MS-7C04
Geekbench AI Score
2642
Single Precision Score
1240
Half Precision Score
2625
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Traktor |
| Upload Date | October 07 2024 02:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C04 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z390I GAMING EDGE AC (MS-7C04) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
96% |
2163
404.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
1612
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5109
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4042
4.72 IPS |
|
|
Pose Estimation (Q)
|
87% |
8348
9.86 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
86% |
1559
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
96% |
3433
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5378
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4560
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11783
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9265
11.9 IPS |
|
|
Style Transfer (Q)
|
87% |
13567
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1809
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2428
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
593
792.0 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
60% |
1604
35.8 IPS |
