Gigabyte Technology Co., Ltd. X670E AORUS PRO X
Geekbench AI Score
13676
Single Precision Score
13694
Half Precision Score
30901
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Devourer |
| Upload Date | November 19 2024 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8839
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8931
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
18132
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8546
138.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8634
140.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18975
307.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17622
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17630
20.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
68557
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
8617
683.5 IPS |
|
|
Object Detection (HP)
|
100% |
8777
696.2 IPS |
|
|
Object Detection (Q)
|
88% |
20437
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
25978
308.7 IPS |
|
|
Face Detection (HP)
|
100% |
25488
302.9 IPS |
|
|
Face Detection (Q)
|
100% |
51586
613.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23516
181.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23343
179.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
59906
466.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49324
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49712
63.9 IPS |
|
|
Style Transfer (Q)
|
98% |
177366
228.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10912
402.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10813
399.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31980
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
6620
8.84 KIPS |
|
|
Text Classification (HP)
|
100% |
6640
8.86 KIPS |
|
|
Text Classification (Q)
|
92% |
8784
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
9171
158.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9157
157.7 IPS |
|
|
Machine Translation (Q)
|
100% |
10696
184.2 IPS |
