Dell Inc. Precision 7670 dGPU Dell Inc. Precision 7670
Geekbench AI Score
1645
Single Precision Score
3701
Half Precision Score
1146
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | 69thicBoi |
| Upload Date | August 16 2024 01:34 PM |
| Views | 12 |
| Notes | Using 90W USB-C Power from Dell Monitor (not default 180W AC Charger) |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 Laptop GPU |
| 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% |
667
124.0 IPS |
|
|
Image Classification (HP)
|
100% |
1600
297.6 IPS |
|
|
Image Classification (Q)
|
100% |
557
103.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
29055
33.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
4139
4.85 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (Q)
|
89% |
613
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
927
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3395
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8045
62.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
2288
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14826
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
59312
76.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9287
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1402
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
640
853.6 IPS |
|
|
Text Classification (HP)
|
100% |
554
738.8 IPS |
|
|
Text Classification (Q)
|
97% |
431
577.4 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
60% |
297
6.62 IPS |
