Micro-Star International Co., Ltd. MS-7B77
Geekbench AI Score
2333
Single Precision Score
2343
Half Precision Score
1574
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | September 14 2024 06:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | ALT Starterkit 11 (Salvia) |
| Model | Micro-Star International Co., Ltd. MS-7B77 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING M7 AC (MS-7B77) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.87 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (Q)
|
99% |
1068
199.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3383
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3664
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (Q)
|
85% |
1182
95.1 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
2540
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2748
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2741
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1890
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3529
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3544
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6175
7.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1621
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
662
889.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (Q)
|
58% |
626
14.7 IPS |
