Intel Corporation DP67DE Unknown
Geekbench AI Score
10900
Single Precision Score
17417
Half Precision Score
8060
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | icemc |
| Upload Date | January 23 2026 10:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| 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% |
4043
751.9 IPS |
|
|
Image Classification (HP)
|
100% |
7110
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
3468
644.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6996
113.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8978
145.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5903
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
62664
73.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
175133
204.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
52965
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
5036
399.4 IPS |
|
|
Object Detection (HP)
|
100% |
8393
665.7 IPS |
|
|
Object Detection (Q)
|
84% |
4322
348.6 IPS |
|
|
Face Detection (SP)
|
100% |
13218
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
18615
221.2 IPS |
|
|
Face Detection (Q)
|
97% |
10983
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30429
234.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53660
413.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
21203
170.3 IPS |
|
|
Style Transfer (SP)
|
100% |
101561
130.6 IPS |
|
|
Style Transfer (HP)
|
100% |
229980
295.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85338
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19360
714.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27307
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12182
451.1 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
99% |
1906
2.54 KIPS |
|
|
Text Classification (Q)
|
97% |
929
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1099
20.6 IPS |
