Micro-Star International Co., Ltd. MS-7B98
Geekbench AI Score
2721
Single Precision Score
1271
Half Precision Score
2827
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | DoctorMurk |
| Upload Date | September 17 2024 04:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B98 |
| Motherboard | Micro-Star International Co., Ltd. Z390-A PRO (MS-7B98) |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1696
315.5 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
1878
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5664
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5027
5.87 IPS |
|
|
Pose Estimation (Q)
|
87% |
11127
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
1661
133.5 IPS |
|
|
Face Detection (SP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
3297
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5912
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4880
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14513
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11928
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13861
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1984
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2745
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.0 IPS |
|
|
Text Classification (Q)
|
97% |
427
571.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1450
32.3 IPS |
