Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
2613
Single Precision Score
2792
Half Precision Score
1777
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | picotera |
| Upload Date | December 20 2024 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1918
356.8 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
99% |
1346
251.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1228
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3339
3.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
3744
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
2198
174.4 IPS |
|
|
Object Detection (Q)
|
85% |
1375
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (Q)
|
97% |
2903
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3133
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3146
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2354
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3903
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3877
4.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6745
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2561
94.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1580
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
719
965.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (Q)
|
58% |
705
16.6 IPS |
