Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
38871
Single Precision Score
65554
Half Precision Score
29011
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | romulus_ut3 |
| Upload Date | May 11 2025 07:17 AM |
| Views | 12 |
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-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14854
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
21624
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12979
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31382
508.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
47061
762.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27882
453.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
242271
282.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
743289
867.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
204973
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
20852
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
32648
2.59 KIPS |
|
|
Object Detection (Q)
|
86% |
17623
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
61051
725.4 IPS |
|
|
Face Detection (HP)
|
100% |
89067
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
49035
584.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92262
710.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
179654
1.38 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67475
538.8 IPS |
|
|
Style Transfer (SP)
|
100% |
354994
456.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1176513
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
304596
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56870
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87053
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42719
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4627
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2337
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
7792
134.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7827
134.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3212
60.2 IPS |
