Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
36572
Single Precision Score
55564
Half Precision Score
28368
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | February 28 2026 12:44 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-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% |
13660
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
18574
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
12117
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27244
441.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24328
394.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23983
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
254097
296.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
781889
912.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
221993
260.0 IPS |
|
|
Object Detection (SP)
|
100% |
18658
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
26572
2.11 KIPS |
|
|
Object Detection (Q)
|
86% |
16388
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
57959
688.7 IPS |
|
|
Face Detection (HP)
|
100% |
79957
950.1 IPS |
|
|
Face Detection (Q)
|
97% |
47619
567.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
97035
747.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
171554
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
72227
576.8 IPS |
|
|
Style Transfer (SP)
|
100% |
377986
485.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1125709
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
326655
421.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54523
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79088
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42929
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2193
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6629
114.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3019
56.6 IPS |
