Dell Inc. Precision 5680
Geekbench AI Score
7427
Single Precision Score
14035
Half Precision Score
5295
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | May 09 2025 03:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5680 |
| Motherboard | Dell Inc. 0H2FJK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3159
587.5 IPS |
|
|
Image Classification (HP)
|
99% |
7112
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
2870
535.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4550
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7474
121.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4098
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
31467
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
106780
124.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
26213
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3516
278.9 IPS |
|
|
Object Detection (HP)
|
100% |
6925
549.3 IPS |
|
|
Object Detection (Q)
|
84% |
2966
239.2 IPS |
|
|
Face Detection (SP)
|
100% |
8153
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
14359
170.6 IPS |
|
|
Face Detection (Q)
|
97% |
5942
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16453
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35777
275.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12389
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
57443
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149652
192.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45544
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11341
418.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19962
737.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6789
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
97% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1023
19.2 IPS |
