Dell Inc. Precision 3581
Geekbench AI Score
6718
Single Precision Score
12770
Half Precision Score
4749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LorisBOX |
| Upload Date | July 22 2025 06:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Precision 3581 |
| Motherboard | Dell Inc. 0V8YXF |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600H |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2822
524.8 IPS |
|
|
Image Classification (HP)
|
99% |
6202
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
2279
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4051
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6898
111.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3294
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27402
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
86823
101.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
22430
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
6246
495.5 IPS |
|
|
Object Detection (Q)
|
84% |
2688
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
6133
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
10932
129.9 IPS |
|
|
Face Detection (Q)
|
97% |
5119
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15145
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32716
252.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11553
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51730
66.5 IPS |
|
|
Style Transfer (HP)
|
100% |
140552
180.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40781
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8499
313.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16989
627.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5774
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2540
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
70% |
926
17.4 IPS |
