System manufacturer System Product Name
Geekbench AI Score
893
Single Precision Score
893
Half Precision Score
1273
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | February 24 2025 02:00 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2630 0 @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P9X79 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.1 IPS |
|
|
Image Classification (Q)
|
100% |
776
144.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
824
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
1862
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
87% |
806
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
2344
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1555
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1549
11.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
2226
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2487
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2493
3.20 IPS |
|
|
Style Transfer (Q)
|
98% |
5588
7.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1115
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.2 IPS |
|
|
Text Classification (HP)
|
100% |
676
901.7 IPS |
|
|
Text Classification (Q)
|
91% |
383
515.2 IPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.4 IPS |
|
|
Machine Translation (Q)
|
100% |
780
13.4 IPS |
