AORUS Radeon™ RX 6800 MASTER 16G Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
24929
Single Precision Score
28017
Half Precision Score
18663
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mahmoodisaeed |
| Upload Date | March 24 2026 04:35 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10827
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
10707
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
8896
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19260
312.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14651
237.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15176
246.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
133257
155.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
213119
248.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
112598
131.9 IPS |
|
|
Object Detection (SP)
|
100% |
11567
917.5 IPS |
|
|
Object Detection (HP)
|
100% |
12105
960.1 IPS |
|
|
Object Detection (Q)
|
87% |
9681
777.5 IPS |
|
|
Face Detection (SP)
|
100% |
36177
429.9 IPS |
|
|
Face Detection (HP)
|
100% |
39126
464.9 IPS |
|
|
Face Detection (Q)
|
97% |
27832
331.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57359
441.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62753
483.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
43030
345.5 IPS |
|
|
Style Transfer (SP)
|
100% |
265164
340.9 IPS |
|
|
Style Transfer (HP)
|
100% |
363878
467.8 IPS |
|
|
Style Transfer (Q)
|
98% |
210042
270.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37035
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43857
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26371
976.5 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1728
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5994
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6155
106.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3040
57.0 IPS |
