Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
25102
Single Precision Score
27904
Half Precision Score
21107
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 27 2025 11:08 PM |
| 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% |
11493
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
12127
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
10355
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10545
170.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10013
162.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10128
164.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
216202
252.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
304827
355.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
195766
229.3 IPS |
|
|
Object Detection (SP)
|
100% |
11775
934.0 IPS |
|
|
Object Detection (HP)
|
99% |
12047
955.6 IPS |
|
|
Object Detection (Q)
|
87% |
10700
859.4 IPS |
|
|
Face Detection (SP)
|
100% |
26820
318.7 IPS |
|
|
Face Detection (HP)
|
100% |
28308
336.4 IPS |
|
|
Face Detection (Q)
|
97% |
24967
297.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
67046
516.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79350
611.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55197
442.3 IPS |
|
|
Style Transfer (SP)
|
100% |
351098
451.3 IPS |
|
|
Style Transfer (HP)
|
100% |
475776
611.6 IPS |
|
|
Style Transfer (Q)
|
98% |
320808
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40031
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47658
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33240
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4703
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4629
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2937
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1851
34.7 IPS |
