Micro-Star International Co., Ltd. MS-7D28
Geekbench AI Score
5330
Single Precision Score
1809
Half Precision Score
6426
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Adam33k |
| Upload Date | October 11 2024 06:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D28 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 UNIFY-X (MS-7D28) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2806
521.8 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
99% |
5086
948.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4202
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13328
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
42454
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.8 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
88% |
2831
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1969
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
6784
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12721
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2419
18.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13490
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29906
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14026
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37164
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2505
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5845
216.4 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
700
937.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3360
75.0 IPS |
