Sistemi_Hardware_Comitec_Srl MS-7E34
Geekbench AI Score
8461
Single Precision Score
8378
Half Precision Score
14863
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:01 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 Pro (64-bit) |
| Model | Sistemi_Hardware_Comitec_Srl MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Prestazioni elevate |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6281
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6376
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
10539
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6433
104.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5795
93.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6849
111.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15780
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15947
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34403
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
5765
457.3 IPS |
|
|
Object Detection (HP)
|
100% |
5654
448.5 IPS |
|
|
Object Detection (Q)
|
88% |
11087
888.8 IPS |
|
|
Face Detection (SP)
|
100% |
15938
189.4 IPS |
|
|
Face Detection (HP)
|
100% |
15903
189.0 IPS |
|
|
Face Detection (Q)
|
100% |
28525
338.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15329
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15381
118.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
30790
239.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45409
58.4 IPS |
|
|
Style Transfer (HP)
|
100% |
44468
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95247
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9152
337.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9488
350.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17546
649.8 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
4943
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2635
45.4 IPS |
