Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
2832
Single Precision Score
4131
Half Precision Score
6447
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 01:02 AM |
| Views | 2 |
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 i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1761
327.5 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.1 IPS |
|
|
Image Classification (Q)
|
99% |
4376
816.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4185
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4992
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4505
5.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13474
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
98% |
2562
203.9 IPS |
|
|
Object Detection (Q)
|
90% |
4704
376.1 IPS |
|
|
Face Detection (SP)
|
100% |
5240
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8105
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
10721
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8965
69.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12269
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11706
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18581
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31216
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7191
266.3 IPS |
|
|
Text Classification (SP)
|
71% |
1268
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1546
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1957
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1958
33.7 IPS |
