HUANANZHI X99-TF Intel Xeon E5-2678 v3 HUANANZHI X99-TF
Geekbench AI Score
4120
Single Precision Score
4158
Half Precision Score
4003
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Boskyman |
| Upload Date | April 23 2025 12:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2678 v3 @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HUANANZHI X99-TF |
| Motherboard | HUANANZHI X99-TF |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2678 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2855
531.0 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
100% |
2625
488.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3523
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3498
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3619
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5839
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5898
6.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
7309
8.57 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (Q)
|
87% |
2945
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (Q)
|
97% |
8075
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6435
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6570
50.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
7823
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17124
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16038
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20678
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4257
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
91% |
331
444.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2813
48.5 IPS |
