Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
38100
Single Precision Score
46082
Half Precision Score
29957
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 08 2025 02:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16940
3.15 KIPS |
|
|
Image Classification (HP)
|
100% |
18517
3.44 KIPS |
|
|
Image Classification (Q)
|
99% |
14662
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27400
444.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23987
388.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24859
404.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
242312
282.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
460115
536.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
217383
254.6 IPS |
|
|
Object Detection (SP)
|
100% |
19379
1.54 KIPS |
|
|
Object Detection (HP)
|
99% |
21137
1.68 KIPS |
|
|
Object Detection (Q)
|
87% |
16811
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
56181
667.6 IPS |
|
|
Face Detection (HP)
|
100% |
65627
779.8 IPS |
|
|
Face Detection (Q)
|
97% |
45719
545.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
77318
595.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100205
772.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
62950
504.5 IPS |
|
|
Style Transfer (SP)
|
100% |
412317
530.0 IPS |
|
|
Style Transfer (HP)
|
100% |
660619
849.2 IPS |
|
|
Style Transfer (Q)
|
98% |
367236
473.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49771
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66210
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39788
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4920
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
3015
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6881
118.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7065
121.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3447
64.7 IPS |
