Dell Inc. Precision 7680
Geekbench AI Score
17833
Single Precision Score
29483
Half Precision Score
14114
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 06:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7680 |
| Motherboard | Dell Inc. 05R4R4 |
| Power Plan | Stability Default Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6653
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11843
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
6040
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11750
190.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15674
254.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10439
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
109551
127.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
299785
349.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
98784
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
8906
706.4 IPS |
|
|
Object Detection (HP)
|
100% |
14840
1.18 KIPS |
|
|
Object Detection (Q)
|
85% |
7266
584.9 IPS |
|
|
Face Detection (SP)
|
100% |
24147
286.9 IPS |
|
|
Face Detection (HP)
|
100% |
32523
386.4 IPS |
|
|
Face Detection (Q)
|
97% |
21103
251.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38424
296.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76203
588.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
31150
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
169930
218.4 IPS |
|
|
Style Transfer (HP)
|
100% |
435612
560.0 IPS |
|
|
Style Transfer (Q)
|
98% |
160062
206.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32324
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42424
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24033
889.9 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1758
33.0 IPS |
