Micro-Star International Co., Ltd. MS-CF05
Geekbench AI Score
38614
Single Precision Score
64526
Half Precision Score
29046
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 08:53 AM |
| Views | 10 |
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 i9-14900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15600
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
23113
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
13589
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28158
456.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
39615
642.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25060
407.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
246751
287.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
744937
869.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
210699
246.8 IPS |
|
|
Object Detection (SP)
|
100% |
19301
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
28662
2.27 KIPS |
|
|
Object Detection (Q)
|
86% |
16484
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
54288
645.1 IPS |
|
|
Face Detection (HP)
|
100% |
77826
924.7 IPS |
|
|
Face Detection (Q)
|
97% |
44866
535.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
94294
726.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
181643
1.40 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68672
548.4 IPS |
|
|
Style Transfer (SP)
|
100% |
362728
466.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1181588
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
314037
404.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59942
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93295
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44793
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2658
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7199
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7229
124.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3138
58.9 IPS |
