System manufacturer System Product Name
Geekbench AI Score
1233
Single Precision Score
655
Half Precision Score
1089
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | December 25 2025 05:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1620 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 E5-1620 v2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.7 IPS |
|
|
Image Classification (Q)
|
96% |
804
150.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1583
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1204
1.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
1581
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
58% |
571
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
96% |
1925
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2096
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
960
7.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
1828
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3934
5.06 IPS |
|
|
Style Transfer (HP)
|
100% |
3121
4.01 IPS |
|
|
Style Transfer (Q)
|
87% |
3674
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
876
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.6 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.7 IPS |
|
|
Text Classification (Q)
|
97% |
325
434.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
68% |
1016
19.6 IPS |
