Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
5059
Single Precision Score
1474
Half Precision Score
7841
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rayprice626 |
| Upload Date | March 29 2025 05:07 PM |
| Views | 11 |
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% |
4320
803.4 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
99% |
7440
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4088
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
3730
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
31187
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3913
310.4 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
7431
597.2 IPS |
|
|
Face Detection (SP)
|
100% |
11291
134.2 IPS |
|
|
Face Detection (HP)
|
100% |
1814
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
11532
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11326
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1908
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18221
145.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22116
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10622
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22420
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3341
123.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2159
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5283
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
587
782.9 IPS |
|
|
Text Classification (Q)
|
97% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2802
56.3 IPS |
