Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
2758
Single Precision Score
4016
Half Precision Score
6296
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-CF05 |
| Motherboard | Micro-Star International Co., Ltd. MS-CF05 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
2805
521.7 IPS |
|
|
Image Classification (Q)
|
99% |
4267
795.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4010
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4847
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4373
5.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
3183
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13081
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
98% |
2482
197.5 IPS |
|
|
Object Detection (Q)
|
90% |
4585
366.6 IPS |
|
|
Face Detection (SP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
7960
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
10511
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5142
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8751
67.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11997
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11355
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17986
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30247
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6995
259.1 IPS |
|
|
Text Classification (SP)
|
71% |
1254
1.81 KIPS |
|
|
Text Classification (HP)
|
71% |
1538
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
1570
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1891
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1886
32.5 IPS |
