Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2
Geekbench AI Score
27418
Single Precision Score
47085
Half Precision Score
20921
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 04:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11081
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
16423
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
9833
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21088
341.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30452
493.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18982
308.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
152448
177.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
616526
719.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
128463
150.5 IPS |
|
|
Object Detection (SP)
|
100% |
14197
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
22423
1.78 KIPS |
|
|
Object Detection (Q)
|
86% |
12085
970.9 IPS |
|
|
Face Detection (SP)
|
100% |
44014
523.0 IPS |
|
|
Face Detection (HP)
|
100% |
60347
717.1 IPS |
|
|
Face Detection (Q)
|
97% |
36279
432.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
74451
573.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
121323
934.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
56827
453.8 IPS |
|
|
Style Transfer (SP)
|
100% |
269041
345.9 IPS |
|
|
Style Transfer (HP)
|
100% |
942679
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
226344
291.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39486
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64501
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30806
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2707
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1813
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5038
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2127
39.9 IPS |
