System manufacturer System Product Name
Geekbench AI Score
1317
Single Precision Score
642
Half Precision Score
1181
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | Zerofckerx |
| Upload Date | November 19 2025 11:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P9X79 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1015
188.8 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
96% |
942
175.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1054
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1767
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1374
1.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
1815
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
643
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (Q)
|
96% |
2052
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2450
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
949
7.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
2058
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4538
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3727
4.79 IPS |
|
|
Style Transfer (Q)
|
87% |
4075
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
688
917.8 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (Q)
|
97% |
285
382.4 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
68% |
949
18.3 IPS |
