Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
29487
Single Precision Score
32487
Half Precision Score
22678
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | January 23 2025 09:46 PM |
| Views | 18 |
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% |
12359
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
13434
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
10742
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15651
253.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14722
238.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14315
232.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
251542
293.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
317322
370.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
227933
267.0 IPS |
|
|
Object Detection (SP)
|
100% |
14594
1.16 KIPS |
|
|
Object Detection (HP)
|
99% |
15246
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
12543
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
35837
425.8 IPS |
|
|
Face Detection (HP)
|
100% |
37945
450.9 IPS |
|
|
Face Detection (Q)
|
97% |
31761
378.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
73728
568.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83741
645.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
53632
429.8 IPS |
|
|
Style Transfer (SP)
|
100% |
410074
527.2 IPS |
|
|
Style Transfer (HP)
|
100% |
568178
730.4 IPS |
|
|
Style Transfer (Q)
|
98% |
365623
471.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46835
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55934
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34114
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2045
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1884
35.3 IPS |
