Sistemi_Hardware_Comitec_Srl MS-7E34
Geekbench AI Score
8573
Single Precision Score
9680
Half Precision Score
13978
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:12 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% |
6363
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (Q)
|
56% |
6592
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6658
107.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15728
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36810
43.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
79123
92.7 IPS |
|
|
Object Detection (SP)
|
100% |
5688
451.1 IPS |
|
|
Object Detection (HP)
|
100% |
5978
474.1 IPS |
|
|
Object Detection (Q)
|
87% |
9776
784.6 IPS |
|
|
Face Detection (SP)
|
100% |
16090
191.2 IPS |
|
|
Face Detection (HP)
|
100% |
15241
181.1 IPS |
|
|
Face Detection (Q)
|
100% |
25394
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15259
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17219
132.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32070
249.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44018
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51445
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94120
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9360
345.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14711
543.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23609
874.3 IPS |
|
|
Text Classification (SP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2291
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3385
58.3 IPS |
