Dell Inc. Precision 7680
Geekbench AI Score
19420
Single Precision Score
31937
Half Precision Score
15241
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 20 2025 01:48 AM |
| 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. 0GVYHR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7460
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
13188
2.46 KIPS |
|
|
Image Classification (Q)
|
100% |
6852
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13408
217.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18906
306.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12430
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
103235
120.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
305048
355.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
90937
106.5 IPS |
|
|
Object Detection (SP)
|
100% |
9298
737.5 IPS |
|
|
Object Detection (HP)
|
100% |
15674
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
8248
663.9 IPS |
|
|
Face Detection (SP)
|
100% |
26810
318.6 IPS |
|
|
Face Detection (HP)
|
100% |
38168
453.5 IPS |
|
|
Face Detection (Q)
|
97% |
23228
277.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43559
335.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85211
656.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35706
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
177305
227.9 IPS |
|
|
Style Transfer (HP)
|
100% |
414740
533.2 IPS |
|
|
Style Transfer (Q)
|
98% |
158633
204.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33898
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47770
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25092
929.1 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1933
36.3 IPS |
