Dell Inc. Precision 7680
Geekbench AI Score
4909
Single Precision Score
5156
Half Precision Score
11086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | September 19 2025 11:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
3251
604.7 IPS |
|
|
Image Classification (HP)
|
100% |
3283
610.4 IPS |
|
|
Image Classification (Q)
|
100% |
7270
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4365
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8112
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6377
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6427
7.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
19682
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3260
258.6 IPS |
|
|
Object Detection (Q)
|
88% |
7430
595.6 IPS |
|
|
Face Detection (SP)
|
100% |
5947
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
6241
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
12343
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7996
61.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
19994
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18873
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18978
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64747
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4042
149.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12104
448.3 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4203
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4003
68.9 IPS |
