Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
8651
Single Precision Score
7049
Half Precision Score
15061
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5940
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
3371
626.9 IPS |
|
|
Image Classification (Q)
|
100% |
10236
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7697
124.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4348
70.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11445
185.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13901
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11023
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
28463
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
5138
407.6 IPS |
|
|
Object Detection (HP)
|
100% |
3788
300.5 IPS |
|
|
Object Detection (Q)
|
88% |
10203
817.9 IPS |
|
|
Face Detection (SP)
|
100% |
13361
158.8 IPS |
|
|
Face Detection (HP)
|
100% |
9362
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
25079
298.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13870
106.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12154
93.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29989
233.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40919
52.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38828
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85090
109.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8596
317.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8502
314.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16506
611.3 IPS |
|
|
Text Classification (SP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (Q)
|
92% |
6311
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2649
45.6 IPS |
