Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
6327
Single Precision Score
6391
Half Precision Score
16233
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Afrosheenix |
| Upload Date | July 05 2025 12:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3877
721.1 IPS |
|
|
Image Classification (HP)
|
100% |
3925
729.9 IPS |
|
|
Image Classification (Q)
|
100% |
10416
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4324
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4317
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11195
181.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7264
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7330
8.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
28705
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3854
305.7 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
88% |
10833
868.4 IPS |
|
|
Face Detection (SP)
|
100% |
12066
143.4 IPS |
|
|
Face Detection (HP)
|
100% |
12207
145.0 IPS |
|
|
Face Detection (Q)
|
100% |
26380
313.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9660
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9562
73.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
28244
219.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19105
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20224
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
71854
92.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4432
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13834
512.3 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3473
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5168
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
6478
111.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6473
111.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9160
157.8 IPS |
