Sistemi_Hardware_Comitec_Srl MS-7E34
Geekbench AI Score
5227
Single Precision Score
8350
Half Precision Score
12967
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3535
657.3 IPS |
|
|
Image Classification (HP)
|
100% |
5660
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7690
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3137
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7254
117.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11030
178.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11310
13.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11069
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
34458
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
5278
418.7 IPS |
|
|
Object Detection (Q)
|
88% |
8638
692.3 IPS |
|
|
Face Detection (SP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
14068
167.2 IPS |
|
|
Face Detection (Q)
|
100% |
23410
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11528
88.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
20311
157.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
25101
195.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28040
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40422
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85826
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8538
315.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14289
529.2 IPS |
|
|
Text Classification (SP)
|
71% |
1809
2.62 KIPS |
|
|
Text Classification (HP)
|
71% |
2472
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2625
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2821
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2815
48.5 IPS |
