Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
5883
Single Precision Score
1762
Half Precision Score
9871
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DeakonFrost |
| Upload Date | September 16 2025 05:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5092
946.9 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (Q)
|
99% |
8223
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13803
224.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11463
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4940
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
35827
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4598
364.7 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
86% |
8312
668.0 IPS |
|
|
Face Detection (SP)
|
100% |
14112
167.7 IPS |
|
|
Face Detection (HP)
|
100% |
1990
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
12839
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13440
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2314
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19206
153.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26028
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11864
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25952
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4007
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6889
255.1 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3732
75.0 IPS |
