Dell Inc. Precision 3680
Geekbench AI Score
26396
Single Precision Score
40553
Half Precision Score
20133
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 22 2024 10:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4500 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision 3680 |
| Motherboard | Dell Inc. 0VTKY7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| 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% |
11193
2.08 KIPS |
|
|
Image Classification (HP)
|
99% |
16611
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
9462
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16309
264.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20124
326.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14936
242.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
150280
175.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
407668
475.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
149991
175.6 IPS |
|
|
Object Detection (SP)
|
100% |
13068
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20301
1.61 KIPS |
|
|
Object Detection (Q)
|
89% |
10107
809.1 IPS |
|
|
Face Detection (SP)
|
100% |
31316
372.1 IPS |
|
|
Face Detection (HP)
|
100% |
42820
508.8 IPS |
|
|
Face Detection (Q)
|
97% |
26333
314.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
62080
478.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111370
860.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
47003
379.1 IPS |
|
|
Style Transfer (SP)
|
100% |
300643
386.5 IPS |
|
|
Style Transfer (HP)
|
100% |
734026
943.6 IPS |
|
|
Style Transfer (Q)
|
98% |
262868
339.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48596
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61531
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34904
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
99% |
4730
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1989
44.4 IPS |
