Micro-Star International Co., Ltd. MS-7B79
Geekbench AI Score
2563
Single Precision Score
2567
Half Precision Score
1285
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | HurricanePootis |
| Upload Date | September 08 2024 10:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7B79 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO (MS-7B79) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
99% |
796
148.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
2262
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
1994
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (Q)
|
85% |
830
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (Q)
|
97% |
2182
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2858
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2851
22.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1666
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3109
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3110
4.00 IPS |
|
|
Style Transfer (Q)
|
98% |
4641
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
708
951.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (Q)
|
58% |
630
14.8 IPS |
