DERE v9max intel
Geekbench AI Score
2213
Single Precision Score
2559
Half Precision Score
1415
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luchnik |
| Upload Date | October 19 2025 09:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1017
189.2 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.7 IPS |
|
|
Image Classification (Q)
|
100% |
876
163.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7427
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
10973
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
4519
5.29 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.2 IPS |
|
|
Object Detection (HP)
|
98% |
1164
92.7 IPS |
|
|
Object Detection (Q)
|
86% |
957
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
1183
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5876
45.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3313
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19407
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28833
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11205
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1242
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
334
445.8 IPS |
|
|
Text Classification (Q)
|
97% |
440
589.9 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
361
6.76 IPS |
