Dell Inc. Precision 7670 iGPU Dell Inc. Precision 7670
Geekbench AI Score
2021
Single Precision Score
2890
Half Precision Score
4640
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | 69thicBoi |
| Upload Date | August 16 2024 01:26 PM |
| Views | 7 |
| Notes | Using 90W USB-C Power from Dell Monitor (not default 180W AC Charger) |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 7670 |
| Motherboard | Dell Inc. 05JPMC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12850HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
1810
336.6 IPS |
|
|
Image Classification (Q)
|
99% |
2617
488.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3726
4.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
2409
2.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
10086
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.7 IPS |
|
|
Object Detection (HP)
|
98% |
1642
130.7 IPS |
|
|
Object Detection (Q)
|
90% |
3170
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
5132
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
7560
89.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4007
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7007
54.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
10115
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8744
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17001
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25666
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5493
203.4 IPS |
|
|
Text Classification (SP)
|
71% |
810
1.17 KIPS |
|
|
Text Classification (HP)
|
71% |
869
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1204
20.8 IPS |
|
|
Machine Translation (Q)
|
89% |
1431
24.9 IPS |
