OEM X79G
Geekbench AI Score
1108
Single Precision Score
520
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 06 2025 06:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v2 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | OEM X79G |
| Motherboard | OEM X79G |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
96% |
798
149.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
558
9.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1653
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1219
1.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
1605
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (Q)
|
58% |
542
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (Q)
|
96% |
1584
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2122
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
1718
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3953
5.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3179
4.09 IPS |
|
|
Style Transfer (Q)
|
87% |
3375
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
729
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.4 IPS |
|
|
Text Classification (HP)
|
100% |
267
355.7 IPS |
|
|
Text Classification (Q)
|
97% |
240
322.0 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
68% |
737
14.2 IPS |
