Micro-Star International Co., Ltd. MS-7C36
Geekbench AI Score
11956
Single Precision Score
13835
Half Precision Score
8778
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | December 02 2024 12:42 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C36 |
| Motherboard | Micro-Star International Co., Ltd. PRESTIGE X570 CREATION (MS-7C36) |
| 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% |
4825
897.4 IPS |
|
|
Image Classification (HP)
|
100% |
5189
965.0 IPS |
|
|
Image Classification (Q)
|
99% |
3911
729.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6114
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6452
104.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5346
86.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
78861
92.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
117744
137.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
64552
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (HP)
|
100% |
5218
413.9 IPS |
|
|
Object Detection (Q)
|
89% |
4185
335.1 IPS |
|
|
Face Detection (SP)
|
100% |
13894
165.1 IPS |
|
|
Face Detection (HP)
|
100% |
15373
182.7 IPS |
|
|
Face Detection (Q)
|
97% |
10931
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29563
227.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33478
258.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22423
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
123449
158.7 IPS |
|
|
Style Transfer (HP)
|
100% |
177882
228.7 IPS |
|
|
Style Transfer (Q)
|
98% |
99120
127.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20954
773.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24376
900.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14614
541.1 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (Q)
|
97% |
995
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1362
30.7 IPS |
