Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE
Geekbench AI Score
8338
Single Precision Score
8226
Half Precision Score
19833
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | timkq |
| Upload Date | January 01 2025 12:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5092
946.9 IPS |
|
|
Image Classification (HP)
|
100% |
4901
911.5 IPS |
|
|
Image Classification (Q)
|
100% |
10837
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5935
96.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14979
242.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12531
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12780
14.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
49419
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5348
424.2 IPS |
|
|
Object Detection (HP)
|
100% |
4853
385.0 IPS |
|
|
Object Detection (Q)
|
88% |
12108
970.6 IPS |
|
|
Face Detection (SP)
|
100% |
13139
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
12356
146.8 IPS |
|
|
Face Detection (Q)
|
100% |
34378
408.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13138
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13157
101.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
38053
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33545
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33753
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120844
155.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7063
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21446
794.2 IPS |
|
|
Text Classification (SP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4915
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5399
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5381
92.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5820
100.3 IPS |
