Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
32637
Single Precision Score
37262
Half Precision Score
26556
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | katzecz |
| Upload Date | December 06 2024 07:04 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15227
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
15942
2.96 KIPS |
|
|
Image Classification (Q)
|
99% |
13201
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18541
300.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17001
275.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16987
276.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
249304
290.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
366731
427.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
223007
261.2 IPS |
|
|
Object Detection (SP)
|
100% |
16303
1.29 KIPS |
|
|
Object Detection (HP)
|
99% |
17500
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
14345
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
42309
502.7 IPS |
|
|
Face Detection (HP)
|
100% |
45985
546.4 IPS |
|
|
Face Detection (Q)
|
97% |
37711
449.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
76995
593.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94539
728.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
63055
505.3 IPS |
|
|
Style Transfer (SP)
|
100% |
398422
512.2 IPS |
|
|
Style Transfer (HP)
|
100% |
580063
745.7 IPS |
|
|
Style Transfer (Q)
|
98% |
357923
461.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46450
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58952
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37338
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4627
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4623
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2920
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2621
49.2 IPS |
