Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
4773
Single Precision Score
1755
Half Precision Score
7715
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| 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, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3912
727.5 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (Q)
|
99% |
6763
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3729
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4331
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
26823
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
3570
283.2 IPS |
|
|
Object Detection (HP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (Q)
|
86% |
7253
582.9 IPS |
|
|
Face Detection (SP)
|
100% |
9701
115.3 IPS |
|
|
Face Detection (HP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
10221
121.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9836
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2294
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16855
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19123
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15280
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24113
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3180
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5112
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4238
85.1 IPS |
