Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
29022
Single Precision Score
31586
Half Precision Score
21466
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 06:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12084
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
11540
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
9618
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20551
333.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16053
260.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16641
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
191039
222.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
288601
336.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
156042
182.8 IPS |
|
|
Object Detection (SP)
|
100% |
13284
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
13525
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
10982
882.0 IPS |
|
|
Face Detection (SP)
|
100% |
38142
453.2 IPS |
|
|
Face Detection (HP)
|
100% |
41802
496.7 IPS |
|
|
Face Detection (Q)
|
97% |
29883
356.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
66410
511.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71922
554.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
49812
400.0 IPS |
|
|
Style Transfer (SP)
|
100% |
332505
427.4 IPS |
|
|
Style Transfer (HP)
|
100% |
445251
572.4 IPS |
|
|
Style Transfer (Q)
|
98% |
262586
338.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38554
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45270
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27734
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2281
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5815
100.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5868
101.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3064
57.5 IPS |
