Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
2798
Single Precision Score
2797
Half Precision Score
2686
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | October 26 2024 07:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 8.84 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 91.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1891
351.8 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (Q)
|
99% |
1953
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3309
53.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1777
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4071
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
7105
8.32 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.6 IPS |
|
|
Object Detection (HP)
|
100% |
2145
170.2 IPS |
|
|
Object Detection (Q)
|
85% |
2360
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
3874
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3111
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3142
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3387
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3904
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3896
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
9441
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2106
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2888
107.0 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1053
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
58% |
894
21.0 IPS |
