PROMETHEAN OPS4-5P8R256SV
Geekbench AI Score
1893
Single Precision Score
1959
Half Precision Score
5032
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 23 2026 03:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1240P |
| 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% |
912
169.7 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.2 IPS |
|
|
Image Classification (Q)
|
100% |
3374
627.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2861
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2897
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
9409
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.1 IPS |
|
|
Object Detection (HP)
|
100% |
1129
89.5 IPS |
|
|
Object Detection (Q)
|
88% |
2583
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (Q)
|
100% |
7606
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3251
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3272
25.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
8862
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8167
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8324
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27235
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5448
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2779
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1404
24.2 IPS |
