Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
34363
Single Precision Score
55841
Half Precision Score
26460
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 22 2025 02:20 PM |
| Views | 17 |
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-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| 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% |
14500
2.70 KIPS |
|
|
Image Classification (HP)
|
100% |
20910
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
12552
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22147
359.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28963
469.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20235
329.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
214753
250.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
649701
758.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
195609
229.1 IPS |
|
|
Object Detection (SP)
|
100% |
18323
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26229
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
15772
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
47090
559.5 IPS |
|
|
Face Detection (HP)
|
100% |
65485
778.1 IPS |
|
|
Face Detection (Q)
|
97% |
39942
476.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
89451
689.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
165766
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66396
530.2 IPS |
|
|
Style Transfer (SP)
|
100% |
337365
433.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1092447
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
295786
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56157
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84747
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41883
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4921
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2406
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5776
99.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2716
50.9 IPS |
