Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
34879
Single Precision Score
50808
Half Precision Score
26300
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Damnboy |
| Upload Date | September 06 2024 11:39 AM |
| 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% |
13710
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
19517
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11566
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21309
345.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26547
430.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19494
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
272318
317.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
517446
603.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
239335
280.3 IPS |
|
|
Object Detection (SP)
|
100% |
16561
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
23752
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
13441
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
44450
528.2 IPS |
|
|
Face Detection (HP)
|
100% |
55160
655.4 IPS |
|
|
Face Detection (Q)
|
97% |
37731
449.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80618
621.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
155444
1.20 KIPS |
|
|
Depth Estimation (Q)
|
76% |
61501
495.5 IPS |
|
|
Style Transfer (SP)
|
100% |
410377
527.5 IPS |
|
|
Style Transfer (HP)
|
100% |
917182
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
362026
466.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58650
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78575
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43772
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (HP)
|
99% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2537
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5434
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5361
92.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2340
52.2 IPS |
