Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
24612
Single Precision Score
27790
Half Precision Score
18476
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | _Midnight71_ |
| Upload Date | May 07 2025 10:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10757
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
10406
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
8845
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19221
311.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14588
236.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15114
245.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
123070
143.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
212103
247.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
104015
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
11360
901.0 IPS |
|
|
Object Detection (HP)
|
100% |
11967
949.2 IPS |
|
|
Object Detection (Q)
|
87% |
9645
774.6 IPS |
|
|
Face Detection (SP)
|
100% |
36355
432.0 IPS |
|
|
Face Detection (HP)
|
100% |
39400
468.2 IPS |
|
|
Face Detection (Q)
|
97% |
28077
334.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57463
442.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62549
481.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
43495
349.3 IPS |
|
|
Style Transfer (SP)
|
100% |
267454
343.8 IPS |
|
|
Style Transfer (HP)
|
100% |
366496
471.1 IPS |
|
|
Style Transfer (Q)
|
98% |
213589
275.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36800
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43770
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26283
973.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1661
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5965
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6084
104.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3036
56.9 IPS |
