Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
5561
Single Precision Score
1272
Half Precision Score
7054
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lilPostman |
| Upload Date | August 21 2024 09:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3496
650.1 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (Q)
|
99% |
8590
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
3290
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11086
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8265
9.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
44212
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
3742
296.8 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
4220
338.3 IPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (Q)
|
97% |
6414
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12748
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1432
11.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
16126
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25766
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20298
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35953
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6720
248.8 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
621
831.3 IPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3729
83.2 IPS |
