Intel X99
Geekbench AI Score
4276
Single Precision Score
4861
Half Precision Score
3250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A310 LP Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2425
451.1 IPS |
|
|
Image Classification (HP)
|
100% |
2902
539.7 IPS |
|
|
Image Classification (Q)
|
99% |
2146
400.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16515
19.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
16172
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13424
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
99% |
3100
246.6 IPS |
|
|
Object Detection (Q)
|
85% |
2307
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (Q)
|
97% |
3739
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10756
82.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12162
94.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
8269
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33805
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36239
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25046
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8192
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3837
142.1 IPS |
|
|
Text Classification (SP)
|
86% |
701
948.0 IPS |
|
|
Text Classification (HP)
|
100% |
646
861.8 IPS |
|
|
Text Classification (Q)
|
84% |
524
711.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
70% |
760
14.3 IPS |
