Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
38749
Single Precision Score
65396
Half Precision Score
28918
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | romulus_ut3 |
| Upload Date | May 11 2025 07:19 AM |
| Views | 10 |
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% |
14901
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
21753
4.05 KIPS |
|
|
Image Classification (Q)
|
100% |
12941
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31231
506.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
47062
762.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27752
451.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
241800
282.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
740848
864.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
205333
240.5 IPS |
|
|
Object Detection (SP)
|
100% |
20692
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
32626
2.59 KIPS |
|
|
Object Detection (Q)
|
86% |
17596
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
60893
723.5 IPS |
|
|
Face Detection (HP)
|
100% |
91312
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
48714
580.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
91864
707.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
170477
1.31 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67356
537.9 IPS |
|
|
Style Transfer (SP)
|
100% |
352977
453.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1173390
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
306600
395.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56714
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87492
3.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42695
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4582
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2304
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
7845
135.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7896
136.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3185
59.7 IPS |
