Intel Corporation DP67DE Unknown
Geekbench AI Score
678
Single Precision Score
394
Half Precision Score
682
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | icemc |
| Upload Date | January 23 2026 10:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro Education (64-bit) |
| Model | Unknown |
| Motherboard | Intel Corporation DP67DE |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2600 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
96% |
534
99.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
551
8.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
872
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
961
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.1 IPS |
|
|
Object Detection (Q)
|
58% |
353
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (Q)
|
96% |
1144
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1077
8.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
578
4.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
1125
8.95 IPS |
|
|
Style Transfer (SP)
|
100% |
2136
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1835
2.36 IPS |
|
|
Style Transfer (Q)
|
87% |
2176
2.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
533
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
464
618.9 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.7 IPS |
|
|
Text Classification (Q)
|
97% |
210
281.0 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
68% |
698
13.5 IPS |
