HUANANZHI
Geekbench AI Score
5140
Single Precision Score
5176
Half Precision Score
4366
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 08:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2696 v3 @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 IoT LTSC (64-bit) |
| Model | HUANANZHI |
| Motherboard | HUANANZHI X99-TF-Q GAMING |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v3 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3438
639.4 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.4 IPS |
|
|
Image Classification (Q)
|
100% |
3056
568.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4355
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4729
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7580
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
10002
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
3266
259.0 IPS |
|
|
Object Detection (HP)
|
100% |
3320
263.3 IPS |
|
|
Object Detection (Q)
|
87% |
3180
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
8554
101.6 IPS |
|
|
Face Detection (HP)
|
100% |
8650
102.8 IPS |
|
|
Face Detection (Q)
|
97% |
10546
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8672
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8874
68.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10383
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23543
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23908
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28945
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4719
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5370
198.9 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (Q)
|
91% |
156
209.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2066
35.6 IPS |
