System manufacturer System Product Name
Geekbench AI Score
1323
Single Precision Score
525
Half Precision Score
1092
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | January 18 2026 01:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2650L 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 E5-2650L v2 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1022
190.1 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
96% |
890
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1072
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1494
1.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
1942
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
58% |
652
71.2 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (Q)
|
96% |
1966
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2542
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
739
5.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
1964
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4814
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3845
4.94 IPS |
|
|
Style Transfer (Q)
|
87% |
4006
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
856
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
503
672.0 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.2 IPS |
|
|
Text Classification (Q)
|
97% |
185
247.6 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
68% |
821
15.9 IPS |
