Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
32700
Single Precision Score
51337
Half Precision Score
24900
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vl9invocations |
| Upload Date | February 19 2025 11:02 PM |
| Views | 13 |
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-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13431
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
19081
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
11462
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20533
332.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26182
424.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18904
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
225735
263.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
638253
744.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
194975
228.7 IPS |
|
|
Object Detection (SP)
|
100% |
17056
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
23666
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
14123
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
42039
499.5 IPS |
|
|
Face Detection (HP)
|
100% |
53743
638.6 IPS |
|
|
Face Detection (Q)
|
97% |
35301
420.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88212
679.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
151516
1.17 KIPS |
|
|
Depth Estimation (Q)
|
76% |
64742
520.4 IPS |
|
|
Style Transfer (SP)
|
100% |
330443
424.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1038375
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
293748
378.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53266
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79542
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41008
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2390
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2334
52.1 IPS |
