Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
28921
Single Precision Score
50931
Half Precision Score
22298
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | September 26 2025 01:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI (MS-7D98) |
| Power Plan | Gebalanceerd |
| 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% |
11257
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
19281
3.59 KIPS |
|
|
Image Classification (Q)
|
100% |
10326
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22221
360.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
33210
538.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20031
325.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
167316
195.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
484850
565.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
140147
164.2 IPS |
|
|
Object Detection (SP)
|
100% |
14899
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24728
1.96 KIPS |
|
|
Object Detection (Q)
|
83% |
12488
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
39964
474.9 IPS |
|
|
Face Detection (HP)
|
100% |
59886
711.6 IPS |
|
|
Face Detection (Q)
|
97% |
34723
414.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66595
513.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
134715
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
52747
421.0 IPS |
|
|
Style Transfer (SP)
|
100% |
231267
297.3 IPS |
|
|
Style Transfer (HP)
|
100% |
794228
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
192282
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41897
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76917
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33027
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4765
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2457
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6418
110.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2938
55.1 IPS |
