Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
25188
Single Precision Score
38840
Half Precision Score
15196
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alexvb |
| Upload Date | April 16 2026 03:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TORPEDO (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9608
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
14020
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
6423
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18084
293.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26466
429.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12750
207.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
172217
200.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
365974
427.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
128336
150.4 IPS |
|
|
Object Detection (SP)
|
100% |
12590
998.6 IPS |
|
|
Object Detection (HP)
|
100% |
18504
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
8324
669.6 IPS |
|
|
Face Detection (SP)
|
100% |
33937
403.2 IPS |
|
|
Face Detection (HP)
|
100% |
50116
595.5 IPS |
|
|
Face Detection (Q)
|
97% |
22470
267.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63506
489.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110851
854.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
37163
297.6 IPS |
|
|
Style Transfer (SP)
|
100% |
264606
340.2 IPS |
|
|
Style Transfer (HP)
|
100% |
646740
831.4 IPS |
|
|
Style Transfer (Q)
|
98% |
190185
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38112
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53972
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21512
796.6 IPS |
|
|
Text Classification (SP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4729
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4770
82.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1576
29.6 IPS |
