HUANANZHI
Geekbench AI Score
2705
Single Precision Score
2731
Half Precision Score
3069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | June 13 2025 03:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2650 v3 @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-4MF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (HP)
|
100% |
1541
286.6 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3727
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
5051
5.92 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (Q)
|
87% |
2180
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
6119
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4456
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4507
34.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5609
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10731
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10913
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14572
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2963
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (Q)
|
91% |
393
527.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2092
36.0 IPS |
