Sistemi_Hardware_Comitec_Srl MS-7E34
Geekbench AI Score
8666
Single Precision Score
8942
Half Precision Score
12975
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 09:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6386
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6625
1.23 KIPS |
|
|
Image Classification (Q)
|
56% |
6089
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6620
107.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3645
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15796
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33745
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72550
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
5659
448.9 IPS |
|
|
Object Detection (HP)
|
100% |
5452
432.5 IPS |
|
|
Object Detection (Q)
|
87% |
9068
727.8 IPS |
|
|
Face Detection (SP)
|
100% |
16056
190.8 IPS |
|
|
Face Detection (HP)
|
100% |
14218
168.9 IPS |
|
|
Face Detection (Q)
|
100% |
23753
282.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15272
117.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16083
123.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30523
237.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44138
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47816
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87839
113.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9189
339.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13495
498.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21811
807.7 IPS |
|
|
Text Classification (SP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2127
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3136
54.0 IPS |
