Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
34804
Single Precision Score
50536
Half Precision Score
26395
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Damnboy |
| Upload Date | September 05 2024 01:55 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13765
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
19472
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
11618
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21296
345.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26540
430.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19518
317.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
274569
320.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
520425
607.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
239437
280.4 IPS |
|
|
Object Detection (SP)
|
100% |
16761
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23853
1.89 KIPS |
|
|
Object Detection (Q)
|
89% |
14482
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
44260
525.9 IPS |
|
|
Face Detection (HP)
|
100% |
55388
658.1 IPS |
|
|
Face Detection (Q)
|
97% |
37680
449.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
80888
623.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
149402
1.15 KIPS |
|
|
Depth Estimation (Q)
|
70% |
59855
501.4 IPS |
|
|
Style Transfer (SP)
|
100% |
411334
528.8 IPS |
|
|
Style Transfer (HP)
|
100% |
921419
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
361917
466.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58319
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78165
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43707
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (HP)
|
99% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2543
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5235
90.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2301
51.3 IPS |
