Intel X99
Geekbench AI Score
2836
Single Precision Score
2907
Half Precision Score
3186
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | March 05 2025 01:40 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2670 v3 @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99H |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (Q)
|
100% |
2171
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2940
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5047
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5067
5.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
6556
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (Q)
|
87% |
2085
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
6251
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3970
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3964
30.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6093
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9717
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9708
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17516
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2019
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3429
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
278
373.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1948
33.6 IPS |
