HUANANZHI X99
Geekbench AI Score
11718
Single Precision Score
19319
Half Precision Score
8268
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | niksher |
| Upload Date | January 03 2026 04:44 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HUANANZHI X99 |
| Motherboard | HUANANZHI X99 F8D |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v3 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4345
808.1 IPS |
|
|
Image Classification (HP)
|
99% |
6630
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
3497
652.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8774
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12558
203.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6852
111.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
66572
77.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
173436
202.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
55376
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
5794
459.6 IPS |
|
|
Object Detection (HP)
|
100% |
9927
787.4 IPS |
|
|
Object Detection (Q)
|
84% |
4696
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
13056
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
21977
261.1 IPS |
|
|
Face Detection (Q)
|
97% |
10559
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30592
235.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56875
439.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
21722
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
108562
139.6 IPS |
|
|
Style Transfer (HP)
|
100% |
255657
328.7 IPS |
|
|
Style Transfer (Q)
|
98% |
88217
113.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15881
586.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27922
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11028
408.3 IPS |
|
|
Text Classification (SP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (HP)
|
99% |
1960
2.62 KIPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1215
22.8 IPS |
