Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
38193
Single Precision Score
63551
Half Precision Score
28801
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:06 AM |
| Views | 2 |
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% |
15294
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
22578
4.20 KIPS |
|
|
Image Classification (Q)
|
100% |
13376
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27880
452.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
39118
634.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24948
405.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
244482
285.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
729609
851.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
209208
245.1 IPS |
|
|
Object Detection (SP)
|
100% |
19079
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
28270
2.24 KIPS |
|
|
Object Detection (Q)
|
86% |
16293
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
53456
635.2 IPS |
|
|
Face Detection (HP)
|
100% |
76283
906.4 IPS |
|
|
Face Detection (Q)
|
97% |
44327
528.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
93271
718.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
179524
1.38 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68180
544.5 IPS |
|
|
Style Transfer (SP)
|
100% |
361660
464.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1173443
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
313589
404.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59483
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92344
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44523
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4328
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2608
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
7154
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7148
123.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3138
58.9 IPS |
