Generic
Geekbench AI Score
1407
Single Precision Score
1406
Half Precision Score
2167
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | May 28 2025 04:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-1650 v2 @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Extreme11 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
100% |
1362
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1774
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
3248
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
87% |
1423
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
4043
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2554
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2542
19.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3879
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4259
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4261
5.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9757
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1968
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (Q)
|
91% |
670
900.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1014
17.5 IPS |
