Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
2964
Single Precision Score
2929
Half Precision Score
1996
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheMatrix2025 |
| Upload Date | September 30 2024 11:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 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 i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (Q)
|
99% |
1511
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3250
52.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1398
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3678
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3635
4.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
4482
5.25 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (Q)
|
85% |
1354
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
4138
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (Q)
|
97% |
3148
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3519
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3400
26.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2676
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4075
5.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4071
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
7600
9.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2910
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2126
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
1585
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (Q)
|
58% |
693
16.3 IPS |
