To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
310
Single Precision Score
312
Half Precision Score
1760
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | 46fy45 |
| Upload Date | November 20 2024 04:44 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2696 v2 @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | X79 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.1 IPS |
|
|
Image Classification (Q)
|
100% |
1340
249.3 IPS |
|
|
Image Segmentation (SP)
|
29% |
64
13.3 IPS |
|
|
Image Segmentation (HP)
|
29% |
64
13.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
2977
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
87% |
1321
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
3657
43.6 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
15.3 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
15.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
3384
26.7 IPS |
|
|
Style Transfer (SP)
|
31% |
322
4.38 IPS |
|
|
Style Transfer (HP)
|
31% |
324
4.40 IPS |
|
|
Style Transfer (Q)
|
98% |
8569
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1748
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
91% |
260
349.1 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
100% |
881
15.2 IPS |
