Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
3734
Single Precision Score
854
Half Precision Score
5403
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | FastEddy |
| Upload Date | September 04 2024 02:41 AM |
| Views | 6 |
| Notes | baseline, first test |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-P WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
99% |
4066
758.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
3422
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7245
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4575
5.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
24337
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
88% |
2229
178.6 IPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
4724
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8028
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
988
7.61 IPS |
|
|
Depth Estimation (Q)
|
76% |
10212
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17429
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11452
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23874
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3133
115.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2184
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4759
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.6 IPS |
|
|
Text Classification (Q)
|
97% |
1912
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2684
59.9 IPS |
