To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
852
Single Precision Score
384
Half Precision Score
683
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 23 2025 04:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2420 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | X79A |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2420 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
96% |
569
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
414
6.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
917
1.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
1186
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
58% |
397
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
96% |
1248
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1592
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
573
4.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
1267
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3025
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2382
3.06 IPS |
|
|
Style Transfer (Q)
|
87% |
2535
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.3 IPS |
|
|
Text Classification (HP)
|
100% |
189
251.7 IPS |
|
|
Text Classification (Q)
|
97% |
169
226.9 IPS |
|
|
Machine Translation (SP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
68% |
560
10.8 IPS |
