Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
2613
Single Precision Score
2792
Half Precision Score
1743
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | picotera |
| Upload Date | December 20 2024 11:45 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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
2203
409.7 IPS |
|
|
Image Classification (Q)
|
99% |
1344
250.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1221
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3324
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
3734
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (Q)
|
85% |
1184
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
3664
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (Q)
|
97% |
2897
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3165
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3156
24.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2341
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3821
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3881
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6747
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1573
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
723
971.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (Q)
|
58% |
686
16.1 IPS |
