Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
29499
Single Precision Score
32475
Half Precision Score
22506
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | December 15 2024 08:43 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D27 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 ACE (MS-7D27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12298
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13514
2.51 KIPS |
|
|
Image Classification (Q)
|
99% |
10903
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16162
262.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14872
241.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14671
238.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
244731
285.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
316182
368.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
227191
266.1 IPS |
|
|
Object Detection (SP)
|
100% |
14779
1.17 KIPS |
|
|
Object Detection (HP)
|
99% |
15089
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
12174
977.8 IPS |
|
|
Face Detection (SP)
|
100% |
36056
428.4 IPS |
|
|
Face Detection (HP)
|
100% |
38725
460.1 IPS |
|
|
Face Detection (Q)
|
97% |
31990
381.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
70982
546.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84453
650.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
52234
418.6 IPS |
|
|
Style Transfer (SP)
|
100% |
413763
531.9 IPS |
|
|
Style Transfer (HP)
|
100% |
568523
730.8 IPS |
|
|
Style Transfer (Q)
|
98% |
364521
470.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48070
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54716
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32646
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3857
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2036
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1862
34.9 IPS |
