Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
34403
Single Precision Score
39340
Half Precision Score
27236
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 23 2024 03:13 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14552
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
16353
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
12657
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22432
363.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20293
329.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20951
340.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
262375
306.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
377539
440.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
229797
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
16124
1.28 KIPS |
|
|
Object Detection (HP)
|
99% |
17544
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
14028
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
42741
507.9 IPS |
|
|
Face Detection (HP)
|
100% |
47839
568.4 IPS |
|
|
Face Detection (Q)
|
97% |
36571
436.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
71228
548.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88876
684.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
61007
491.9 IPS |
|
|
Style Transfer (SP)
|
100% |
435793
560.2 IPS |
|
|
Style Transfer (HP)
|
100% |
617507
793.8 IPS |
|
|
Style Transfer (Q)
|
98% |
392460
506.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50090
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60902
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38651
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4981
6.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
3166
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2453
54.7 IPS |
