Dell Inc. Precision 3460
Geekbench AI Score
2556
Single Precision Score
2524
Half Precision Score
1528
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-12900 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Dell Inc. Precision 3460 |
| Motherboard | Dell Inc. 08WXMX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.2 IPS |
|
|
Image Classification (Q)
|
99% |
1189
221.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3624
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
2048
162.5 IPS |
|
|
Object Detection (Q)
|
85% |
1175
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
2544
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3135
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3117
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2057
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3897
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3933
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
5989
7.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1454
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
530
711.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (Q)
|
58% |
510
12.0 IPS |
