Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
9365
Single Precision Score
9348
Half Precision Score
21008
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | cmcclurg |
| Upload Date | February 10 2025 12:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5248
976.0 IPS |
|
|
Image Classification (HP)
|
100% |
5403
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
11119
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5272
85.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5331
86.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10698
173.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16746
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17111
20.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
67098
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
5677
450.3 IPS |
|
|
Object Detection (HP)
|
100% |
5756
456.6 IPS |
|
|
Object Detection (Q)
|
88% |
13184
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
14265
169.5 IPS |
|
|
Face Detection (HP)
|
100% |
14133
167.9 IPS |
|
|
Face Detection (Q)
|
100% |
35177
418.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16230
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16103
124.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
43727
340.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43937
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43913
56.5 IPS |
|
|
Style Transfer (Q)
|
98% |
159539
205.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8747
323.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8591
317.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24502
907.4 IPS |
|
|
Text Classification (SP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4862
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5299
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5268
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5444
93.8 IPS |
