Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
38623
Single Precision Score
64334
Half Precision Score
29059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
15529
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
23045
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
13585
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28125
455.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
39522
640.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24964
405.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
247348
288.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
735406
858.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
210208
246.2 IPS |
|
|
Object Detection (SP)
|
100% |
19252
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
28743
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
16336
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
54186
643.8 IPS |
|
|
Face Detection (HP)
|
100% |
77152
916.7 IPS |
|
|
Face Detection (Q)
|
97% |
44766
533.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
94815
730.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
181489
1.40 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69403
554.2 IPS |
|
|
Style Transfer (SP)
|
100% |
363194
466.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1178188
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
316253
407.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59905
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93609
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44787
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5681
7.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2657
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7215
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7191
123.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3154
59.2 IPS |
