System manufacturer System Product Name
Geekbench AI Score
1128
Single Precision Score
501
Half Precision Score
924
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | November 10 2025 06:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 v2 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV FORMULA |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
96% |
757
141.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
548
8.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1565
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1160
1.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
1547
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
58% |
525
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
2167
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.60 IPS |
|
|
Face Detection (Q)
|
96% |
1753
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2017
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
1694
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3015
3.88 IPS |
|
|
Style Transfer (Q)
|
87% |
3472
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
627
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
697
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
483
645.0 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.1 IPS |
|
|
Text Classification (Q)
|
97% |
226
303.2 IPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (Q)
|
68% |
832
16.1 IPS |
