To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
408
Single Precision Score
403
Half Precision Score
2021
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | afanasjev |
| Upload Date | September 12 2024 05:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | HUANANZHI X79 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (Q)
|
100% |
1365
253.9 IPS |
|
|
Image Segmentation (SP)
|
29% |
94
19.5 IPS |
|
|
Image Segmentation (HP)
|
29% |
96
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1440
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1550
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1560
1.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
3607
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (Q)
|
87% |
1515
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
4417
52.7 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
22.2 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
21.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4202
33.2 IPS |
|
|
Style Transfer (SP)
|
31% |
448
6.09 IPS |
|
|
Style Transfer (HP)
|
31% |
446
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
11560
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2195
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
91% |
245
329.7 IPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
100% |
921
15.9 IPS |
