Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
34328
Single Precision Score
50696
Half Precision Score
25872
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | 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 | test |
| 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% |
13136
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
18748
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11236
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21217
343.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26864
435.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19875
323.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
264103
308.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
517368
603.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
230697
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
16967
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
24626
1.95 KIPS |
|
|
Object Detection (Q)
|
89% |
13726
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
45643
542.3 IPS |
|
|
Face Detection (HP)
|
100% |
58134
690.8 IPS |
|
|
Face Detection (Q)
|
97% |
38029
453.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
77744
599.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
151733
1.17 KIPS |
|
|
Depth Estimation (Q)
|
76% |
58868
474.3 IPS |
|
|
Style Transfer (SP)
|
100% |
402102
516.9 IPS |
|
|
Style Transfer (HP)
|
100% |
927218
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
352178
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56232
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75846
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42626
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5421
93.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2320
51.7 IPS |
