DERE v9max intel
Geekbench AI Score
2358
Single Precision Score
2376
Half Precision Score
6913
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | October 19 2025 09:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | intel |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1546
287.4 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (Q)
|
100% |
4990
927.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4052
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
11565
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (Q)
|
88% |
4834
387.5 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (Q)
|
100% |
10990
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3622
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3686
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11405
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7312
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
7481
9.62 IPS |
|
|
Style Transfer (Q)
|
98% |
28135
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6087
225.4 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
3707
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2772
47.8 IPS |
