Gigabyte X670 AORUS ELITE AX (Raphael) Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
3924
Single Precision Score
1766
Half Precision Score
6431
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 09 2024 09:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| 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 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3410
634.2 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
8262
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2711
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5562
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4706
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
24068
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
86% |
6291
505.6 IPS |
|
|
Face Detection (SP)
|
100% |
6922
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10715
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6982
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2595
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16452
131.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14407
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12182
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26468
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
471
631.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3617
72.7 IPS |
