PROMETHEAN OPS4-5P8R256SV
Geekbench AI Score
2210
Single Precision Score
2365
Half Precision Score
1389
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 23 2026 03:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1044
194.2 IPS |
|
|
Image Classification (HP)
|
100% |
1044
194.2 IPS |
|
|
Image Classification (Q)
|
100% |
838
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
886
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7109
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
9734
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
4298
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
98% |
1013
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
952
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
1814
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
2619
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
1315
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4467
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5180
40.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3086
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18631
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24216
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11088
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3565
131.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1194
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
695
928.0 IPS |
|
|
Text Classification (HP)
|
100% |
336
448.4 IPS |
|
|
Text Classification (Q)
|
97% |
391
523.7 IPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
70% |
421
7.89 IPS |
