Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
24587
Single Precision Score
36539
Half Precision Score
14919
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | stuartcampbell |
| Upload Date | November 26 2025 11:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9133
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
12407
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
6223
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17754
287.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25127
407.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12483
203.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
169146
197.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
355412
414.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
126147
147.8 IPS |
|
|
Object Detection (SP)
|
100% |
12156
964.2 IPS |
|
|
Object Detection (HP)
|
100% |
17029
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
8270
665.2 IPS |
|
|
Face Detection (SP)
|
100% |
33925
403.1 IPS |
|
|
Face Detection (HP)
|
100% |
46717
555.1 IPS |
|
|
Face Detection (Q)
|
97% |
22260
265.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
59125
455.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104275
803.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35797
286.7 IPS |
|
|
Style Transfer (SP)
|
100% |
269123
346.0 IPS |
|
|
Style Transfer (HP)
|
100% |
629903
809.7 IPS |
|
|
Style Transfer (Q)
|
98% |
190553
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37562
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51673
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21219
785.7 IPS |
|
|
Text Classification (SP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3104
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4729
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1566
29.4 IPS |
