Gigabyte Technology Co., Ltd. X299 DESIGNARE EX
Geekbench AI Score
3046
Single Precision Score
1112
Half Precision Score
3409
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X299 DESIGNARE EX |
| Motherboard | Gigabyte Technology Co., Ltd. X299 DESIGNARE EX-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2389
444.2 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
96% |
3639
679.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1033
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
1645
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5015
5.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
12736
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
58% |
2395
261.7 IPS |
|
|
Face Detection (SP)
|
100% |
5306
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6261
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7558
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9001
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14290
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10283
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15918
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2526
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
502
669.7 IPS |
|
|
Text Classification (Q)
|
97% |
334
447.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1536
29.7 IPS |
