Gigabyte X670 AORUS ELITE AX (Raphael) Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
7079
Single Precision Score
7099
Half Precision Score
18295
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 09 2024 09:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 8-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 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% |
4794
891.6 IPS |
|
|
Image Classification (HP)
|
100% |
4801
892.9 IPS |
|
|
Image Classification (Q)
|
100% |
11360
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12120
196.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8589
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8685
10.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
34324
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4213
334.2 IPS |
|
|
Object Detection (HP)
|
100% |
4238
336.2 IPS |
|
|
Object Detection (Q)
|
88% |
12403
994.2 IPS |
|
|
Face Detection (SP)
|
100% |
9915
117.8 IPS |
|
|
Face Detection (HP)
|
100% |
9902
117.7 IPS |
|
|
Face Detection (Q)
|
100% |
30900
367.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10796
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10832
83.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
33730
262.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23889
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24377
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91058
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5458
201.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17449
646.2 IPS |
|
|
Text Classification (SP)
|
100% |
4409
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4414
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5763
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5957
102.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7512
129.4 IPS |
