PROMETHEAN OPS4-5P8R256SV
Geekbench AI Score
3199
Single Precision Score
4668
Half Precision Score
7339
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 23 2026 03:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | PROMETHEAN OPS4-5P8R256SV |
| Motherboard | Type2 - Board Vendor Name1 Type2 - Board Product Name1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.2 IPS |
|
|
Image Classification (Q)
|
99% |
3754
700.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4692
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5702
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7184
8.38 IPS |
|
|
Pose Estimation (HP)
|
99% |
5385
6.28 IPS |
|
|
Pose Estimation (Q)
|
97% |
24754
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
2952
234.2 IPS |
|
|
Object Detection (Q)
|
90% |
4749
379.7 IPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
12331
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6918
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11450
88.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14967
116.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18576
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24489
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
55506
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4526
167.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9530
352.9 IPS |
|
|
Text Classification (SP)
|
71% |
903
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1317
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1703
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1751
30.3 IPS |
