Micro-Star International Co., Ltd. MS-7B48
Geekbench AI Score
23532
Single Precision Score
26495
Half Precision Score
19181
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | darkagarka |
| Upload Date | August 17 2024 09:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 GRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B48 |
| Motherboard | Micro-Star International Co., Ltd. Z370-A PRO (MS-7B48) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10999
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
12200
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9501
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10479
169.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9102
147.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9372
152.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
219561
256.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
312617
364.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
192454
225.5 IPS |
|
|
Object Detection (SP)
|
100% |
11891
943.2 IPS |
|
|
Object Detection (HP)
|
99% |
12866
1.02 KIPS |
|
|
Object Detection (Q)
|
89% |
10638
851.9 IPS |
|
|
Face Detection (SP)
|
100% |
20578
244.5 IPS |
|
|
Face Detection (HP)
|
100% |
22133
263.0 IPS |
|
|
Face Detection (Q)
|
97% |
22631
269.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64414
496.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72869
561.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
49734
407.5 IPS |
|
|
Style Transfer (SP)
|
100% |
347193
446.3 IPS |
|
|
Style Transfer (HP)
|
100% |
478063
614.6 IPS |
|
|
Style Transfer (Q)
|
98% |
304847
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37330
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48165
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29950
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2494
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1443
32.2 IPS |
