Generic
Geekbench AI Score
2255
Single Precision Score
2282
Half Precision Score
2702
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | klcs1998 |
| Upload Date | October 29 2025 05:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2650 v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99X Killer |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v4 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (Q)
|
100% |
1960
364.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
5659
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (Q)
|
87% |
2099
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (Q)
|
97% |
6000
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3636
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3554
27.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5302
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9428
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9774
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15025
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3018
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
91% |
174
234.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1334
23.0 IPS |
