Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
5998
Single Precision Score
6026
Half Precision Score
14533
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | October 10 2025 01:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D26 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 GODLIKE (MS-7D26) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KS |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3429
637.7 IPS |
|
|
Image Classification (HP)
|
100% |
3576
665.0 IPS |
|
|
Image Classification (Q)
|
100% |
10504
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5096
82.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5117
83.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11873
192.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10938
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10350
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34517
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (HP)
|
100% |
3043
241.4 IPS |
|
|
Object Detection (Q)
|
88% |
10927
875.9 IPS |
|
|
Face Detection (SP)
|
100% |
10484
124.6 IPS |
|
|
Face Detection (HP)
|
100% |
10187
121.0 IPS |
|
|
Face Detection (Q)
|
100% |
13661
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9810
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9976
76.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29913
232.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31602
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31859
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
96314
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17836
660.5 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
5815
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2189
37.7 IPS |
