Dell Inc. Precision 7680
Geekbench AI Score
4956
Single Precision Score
4942
Half Precision Score
11527
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 10 2025 01:29 AM |
| Views | 7 |
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% |
3221
599.1 IPS |
|
|
Image Classification (HP)
|
100% |
3201
595.3 IPS |
|
|
Image Classification (Q)
|
100% |
7204
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4201
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8026
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6040
7.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
21888
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3107
246.5 IPS |
|
|
Object Detection (HP)
|
100% |
3117
247.2 IPS |
|
|
Object Detection (Q)
|
88% |
7543
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
6383
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
17395
206.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7836
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6153
47.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
19908
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16006
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18452
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
61957
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12130
449.2 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4035
69.5 IPS |
