Micro-Star International Co., Ltd. MS-7B98
Geekbench AI Score
2927
Single Precision Score
1224
Half Precision Score
3922
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B98 |
| Motherboard | Micro-Star International Co., Ltd. Z390-A PRO (MS-7B98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
3559
664.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
1880
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4226
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3871
4.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
9918
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.9 IPS |
|
|
Object Detection (Q)
|
58% |
2568
280.6 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
6714
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8142
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8432
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12907
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10923
14.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12932
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2529
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
727
970.4 IPS |
|
|
Text Classification (Q)
|
97% |
1244
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2197
42.4 IPS |
