Dell Inc. Precision 7680
Geekbench AI Score
3480
Single Precision Score
1060
Half Precision Score
5382
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13950HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7680 |
| Motherboard | Dell Inc. 05R4R4 |
| Power Plan | Stability Default Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2785
518.0 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.4 IPS |
|
|
Image Classification (Q)
|
99% |
4554
849.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2658
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7648
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
21981
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
4680
376.1 IPS |
|
|
Face Detection (SP)
|
100% |
7532
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
7451
88.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8238
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1414
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12662
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16435
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8091
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21734
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3386
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.4 IPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
65% |
2276
45.7 IPS |
