DERE v9max intel
Geekbench AI Score
1681
Single Precision Score
860
Half Precision Score
3143
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | October 19 2025 09:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| 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% |
1309
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
3469
647.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
2284
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1744
2.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
8602
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
86% |
2744
220.6 IPS |
|
|
Face Detection (SP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4778
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3257
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
6825
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5681
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4651
5.98 IPS |
|
|
Style Transfer (Q)
|
98% |
7518
9.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.7 IPS |
|
|
Text Classification (Q)
|
97% |
438
586.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1477
29.7 IPS |
