Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
36621
Single Precision Score
57125
Half Precision Score
28375
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | January 03 2026 11:47 PM |
| Views | 8 |
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-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING EDGE WIFI (MS-7C91) |
| Power Plan | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13758
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
18620
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
12181
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27075
438.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
35876
581.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24279
394.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
262986
306.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
782145
912.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
225210
263.8 IPS |
|
|
Object Detection (SP)
|
100% |
19144
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
26435
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
16461
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
57439
682.5 IPS |
|
|
Face Detection (HP)
|
100% |
75825
901.0 IPS |
|
|
Face Detection (Q)
|
97% |
47487
566.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
97051
747.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
172342
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71737
572.9 IPS |
|
|
Style Transfer (SP)
|
100% |
378505
486.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1133881
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
327128
421.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54382
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77819
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42268
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3138
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6426
110.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6475
111.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3016
56.6 IPS |
