PROMETHEAN OPS4-5P8R256SV
Geekbench AI Score
2004
Single Precision Score
870
Half Precision Score
3887
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 23 2026 02:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.2 IPS |
|
|
Image Classification (Q)
|
99% |
2722
507.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
4298
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
9981
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
3288
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
5393
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3988
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1202
9.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
7525
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7411
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
5203
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
11538
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2583
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.6 IPS |
|
|
Text Classification (Q)
|
97% |
965
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
65% |
1758
35.3 IPS |
