Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
5151
Single Precision Score
1547
Half Precision Score
8110
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rayprice626 |
| Upload Date | April 24 2025 06:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-VC WIFI HS BULK (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4143
770.5 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
99% |
7211
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4331
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9879
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3826
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
32330
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3844
304.9 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
7881
633.4 IPS |
|
|
Face Detection (SP)
|
100% |
10901
129.5 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
11458
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11833
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1926
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17817
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22268
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10845
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23667
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3433
69.0 IPS |
