Intel X99
Geekbench AI Score
5934
Single Precision Score
6041
Half Precision Score
4486
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | May 11 2025 02:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99H |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2429
451.7 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
100% |
2056
382.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2542
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37478
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
39277
45.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30171
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (HP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (Q)
|
88% |
2431
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
7546
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
9523
113.2 IPS |
|
|
Face Detection (Q)
|
97% |
5892
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16514
127.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18018
139.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11469
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
63792
82.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67768
87.1 IPS |
|
|
Style Transfer (Q)
|
98% |
52105
67.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9094
335.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8905
328.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6043
223.8 IPS |
|
|
Text Classification (SP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.3 IPS |
|
|
Text Classification (Q)
|
97% |
572
766.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1249
21.6 IPS |
|
|
Machine Translation (Q)
|
70% |
709
13.3 IPS |
