Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
35986
Single Precision Score
42351
Half Precision Score
28754
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hArDsTyLe2259 |
| Upload Date | June 21 2025 04:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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 TOMAHAWK (MS-7C91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15011
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
16344
3.04 KIPS |
|
|
Image Classification (Q)
|
99% |
12950
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24895
403.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22330
362.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22090
359.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
294428
343.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
514538
600.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
258958
303.3 IPS |
|
|
Object Detection (SP)
|
100% |
17466
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
18946
1.50 KIPS |
|
|
Object Detection (Q)
|
87% |
15116
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
48363
574.7 IPS |
|
|
Face Detection (HP)
|
100% |
52223
620.5 IPS |
|
|
Face Detection (Q)
|
97% |
42937
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
76997
593.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98489
758.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
60823
487.4 IPS |
|
|
Style Transfer (SP)
|
100% |
457405
588.0 IPS |
|
|
Style Transfer (HP)
|
100% |
710300
913.1 IPS |
|
|
Style Transfer (Q)
|
98% |
408745
527.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51932
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66166
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41725
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4226
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2689
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2881
54.0 IPS |
