Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
27889
Single Precision Score
32625
Half Precision Score
22183
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 23 2025 03:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11821
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
11936
2.22 KIPS |
|
|
Image Classification (Q)
|
99% |
11250
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20249
328.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17165
278.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17739
288.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
183449
214.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
326059
380.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
161731
189.4 IPS |
|
|
Object Detection (SP)
|
100% |
13680
1.09 KIPS |
|
|
Object Detection (HP)
|
99% |
13076
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
12336
990.7 IPS |
|
|
Face Detection (SP)
|
100% |
39213
465.9 IPS |
|
|
Face Detection (HP)
|
100% |
44637
530.4 IPS |
|
|
Face Detection (Q)
|
97% |
33896
404.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
69243
533.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83270
641.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
55714
446.5 IPS |
|
|
Style Transfer (SP)
|
100% |
328207
421.9 IPS |
|
|
Style Transfer (HP)
|
100% |
518105
666.0 IPS |
|
|
Style Transfer (Q)
|
98% |
285882
368.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36655
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52478
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29515
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2004
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4698
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2270
42.6 IPS |
