HUANANZHI X99-TF Intel Xeon E5-2678 v3 HUANANZHI X99-TF
Geekbench AI Score
2785
Single Precision Score
980
Half Precision Score
2400
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Boskyman |
| Upload Date | April 23 2025 12:17 AM |
| Views | 7 |
| Notes | Intel Xeon E5-2678 v3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2678 v3 |
| 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% |
2660
494.6 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4507
5.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
6695
7.91 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
58% |
1654
180.7 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4574
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6936
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1274
9.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
5819
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12959
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10587
13.6 IPS |
|
|
Style Transfer (Q)
|
87% |
9336
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1682
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.7 IPS |
|
|
Text Classification (Q)
|
97% |
269
359.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1593
30.8 IPS |
