Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
4820
Single Precision Score
1783
Half Precision Score
7798
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaoqiu |
| Upload Date | February 13 2025 02:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3672
682.8 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
9441
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3460
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7795
9.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
42192
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
3631
288.0 IPS |
|
|
Object Detection (HP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (Q)
|
86% |
9084
730.1 IPS |
|
|
Face Detection (SP)
|
100% |
7798
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
11789
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10360
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2748
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21866
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22126
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21306
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40346
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3932
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
465
623.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3495
70.2 IPS |
