OEM X79-Turbo
Geekbench AI Score
1428
Single Precision Score
1398
Half Precision Score
2104
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 04 2025 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2690 v2 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | OEM X79-Turbo |
| Motherboard | OEM X79-Turbo |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v2 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
868
161.5 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (Q)
|
100% |
1422
264.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1978
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1271
1.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
3158
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (Q)
|
87% |
1591
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
4683
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2700
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2368
18.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
3812
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3809
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3743
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
8752
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1006
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1983
73.4 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (Q)
|
91% |
373
500.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1042
17.9 IPS |
