Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
21698
Single Precision Score
23586
Half Precision Score
16778
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | March 18 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 XT |
| 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 MAX WIFI (MS-7C91) |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9755
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
8880
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
8242
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14316
232.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11093
179.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11423
185.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
125835
146.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
197673
230.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
105459
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
9697
769.2 IPS |
|
|
Object Detection (HP)
|
100% |
8439
669.4 IPS |
|
|
Object Detection (Q)
|
87% |
8428
676.9 IPS |
|
|
Face Detection (SP)
|
100% |
28692
340.9 IPS |
|
|
Face Detection (HP)
|
100% |
31503
374.3 IPS |
|
|
Face Detection (Q)
|
97% |
22890
272.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53531
412.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
63018
485.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
40085
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
225653
290.1 IPS |
|
|
Style Transfer (HP)
|
100% |
284567
365.8 IPS |
|
|
Style Transfer (Q)
|
98% |
181303
233.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36669
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44016
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25538
945.6 IPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2732
51.2 IPS |
