Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
23736
Single Precision Score
35873
Half Precision Score
20528
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KNBBR |
| Upload Date | December 31 2025 12:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11479
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
14350
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11083
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11025
178.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13371
216.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14598
237.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
130463
152.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
417672
487.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
116134
136.0 IPS |
|
|
Object Detection (SP)
|
100% |
10392
824.3 IPS |
|
|
Object Detection (HP)
|
99% |
14950
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
9521
764.7 IPS |
|
|
Face Detection (SP)
|
100% |
29757
353.6 IPS |
|
|
Face Detection (HP)
|
100% |
41771
496.3 IPS |
|
|
Face Detection (Q)
|
97% |
25999
310.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65935
508.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94447
727.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
54838
439.8 IPS |
|
|
Style Transfer (SP)
|
100% |
236237
303.7 IPS |
|
|
Style Transfer (HP)
|
100% |
455250
585.2 IPS |
|
|
Style Transfer (Q)
|
98% |
203364
262.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36731
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67855
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30891
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2709
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3062
57.4 IPS |
