Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
7244
Single Precision Score
7275
Half Precision Score
17267
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D 12-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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4320
803.4 IPS |
|
|
Image Classification (HP)
|
100% |
4365
811.8 IPS |
|
|
Image Classification (Q)
|
100% |
9697
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5525
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5549
90.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13965
226.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11512
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11704
13.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
43974
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
4441
352.2 IPS |
|
|
Object Detection (HP)
|
100% |
4351
345.1 IPS |
|
|
Object Detection (Q)
|
88% |
10639
852.8 IPS |
|
|
Face Detection (SP)
|
100% |
10961
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
11082
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
28420
337.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11476
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12079
93.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
32159
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29846
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29748
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
109253
140.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6523
240.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18939
701.4 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3914
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5025
86.6 IPS |
