Dell Inc. Precision 7670 CPU Dell Inc. Precision 7670
Geekbench AI Score
2167
Single Precision Score
2111
Half Precision Score
5141
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | 69thicBoi |
| Upload Date | August 16 2024 01:21 PM |
| Views | 10 |
| Notes | Using 90W USB-C Power from Dell Monitor (not default 180W AC Charger) |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12850HX |
| 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% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
1212
225.3 IPS |
|
|
Image Classification (Q)
|
100% |
3324
618.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3568
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3091
3.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
9243
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
88% |
3752
300.8 IPS |
|
|
Face Detection (SP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
4438
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
9386
111.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4062
31.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
3934
30.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
6942
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7839
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7229
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
25254
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4956
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.7 IPS |
|
|
Text Classification (HP)
|
100% |
582
777.3 IPS |
|
|
Text Classification (Q)
|
92% |
1689
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
85% |
2280
39.9 IPS |
