Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
10366
Single Precision Score
10209
Half Precision Score
7424
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 04:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2769
514.9 IPS |
|
|
Image Classification (HP)
|
100% |
4312
801.8 IPS |
|
|
Image Classification (Q)
|
99% |
2388
445.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6848
111.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6628
107.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5412
88.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
73192
85.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39504
46.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
56762
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
3536
280.4 IPS |
|
|
Object Detection (HP)
|
100% |
5467
433.7 IPS |
|
|
Object Detection (Q)
|
84% |
3005
242.4 IPS |
|
|
Face Detection (SP)
|
100% |
7103
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
10987
130.6 IPS |
|
|
Face Detection (Q)
|
97% |
6088
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22909
176.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20102
155.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
17082
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
118643
152.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65666
84.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89099
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21693
801.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16272
600.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12638
468.0 IPS |
|
|
Text Classification (SP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3749
64.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1700
31.9 IPS |
