Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
33771
Single Precision Score
37877
Half Precision Score
26910
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | September 29 2024 11:49 AM |
| Views | 15 |
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, 32 Threads |
| 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% |
15123
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
16183
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
13049
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17956
291.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17548
284.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17387
282.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
272858
318.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
370320
432.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
239900
281.1 IPS |
|
|
Object Detection (SP)
|
100% |
17235
1.37 KIPS |
|
|
Object Detection (HP)
|
99% |
18121
1.44 KIPS |
|
|
Object Detection (Q)
|
89% |
14758
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
39494
469.3 IPS |
|
|
Face Detection (HP)
|
100% |
43000
510.9 IPS |
|
|
Face Detection (Q)
|
97% |
34666
413.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78161
602.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
93107
717.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
61608
496.7 IPS |
|
|
Style Transfer (SP)
|
100% |
444252
571.1 IPS |
|
|
Style Transfer (HP)
|
100% |
623261
801.2 IPS |
|
|
Style Transfer (Q)
|
98% |
391049
504.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52961
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61721
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41749
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5017
6.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4947
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
3216
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2211
49.3 IPS |
