Dell Inc. Precision 7680
Geekbench AI Score
3661
Single Precision Score
1152
Half Precision Score
5428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 10 2025 01:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13850HX |
| 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% |
2915
542.0 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
99% |
4579
854.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2546
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6459
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
22735
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2775
220.1 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
86% |
4893
393.3 IPS |
|
|
Face Detection (SP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
8013
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8428
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1524
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12207
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15349
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8906
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21637
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
1192
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
552
737.2 IPS |
|
|
Text Classification (Q)
|
97% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2423
48.7 IPS |
