Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
4337
Single Precision Score
1678
Half Precision Score
8940
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | December 22 2024 05:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| 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 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3150
585.9 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
99% |
9311
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4200
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6090
7.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
34815
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
10113
812.8 IPS |
|
|
Face Detection (SP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
12165
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8661
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20185
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18809
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17208
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38190
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2168
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3838
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4106
82.5 IPS |
