Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
31216
Single Precision Score
37266
Half Precision Score
24564
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 24 2025 11:35 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13913
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
14624
2.72 KIPS |
|
|
Image Classification (Q)
|
99% |
12225
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21872
354.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18416
298.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19286
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
203081
237.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
336125
392.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
177217
207.6 IPS |
|
|
Object Detection (SP)
|
100% |
15073
1.20 KIPS |
|
|
Object Detection (HP)
|
99% |
16046
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
13376
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
44078
523.7 IPS |
|
|
Face Detection (HP)
|
100% |
51780
615.3 IPS |
|
|
Face Detection (Q)
|
97% |
37203
443.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
71592
551.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86690
667.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
57318
459.3 IPS |
|
|
Style Transfer (SP)
|
100% |
347420
446.6 IPS |
|
|
Style Transfer (HP)
|
100% |
548361
704.9 IPS |
|
|
Style Transfer (Q)
|
98% |
297515
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39219
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58629
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31387
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6002
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2985
56.0 IPS |
