Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
8772
Single Precision Score
8879
Half Precision Score
21955
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | yashrao777 |
| Upload Date | March 19 2025 05:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5197
966.4 IPS |
|
|
Image Classification (HP)
|
100% |
5220
970.7 IPS |
|
|
Image Classification (Q)
|
100% |
13456
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6439
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6484
105.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17889
290.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13592
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13654
15.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
54199
63.5 IPS |
|
|
Object Detection (SP)
|
100% |
5384
427.0 IPS |
|
|
Object Detection (HP)
|
100% |
5544
439.8 IPS |
|
|
Object Detection (Q)
|
88% |
13918
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
12672
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
13125
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
35626
423.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13480
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13560
104.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
41333
321.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35969
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36013
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
130224
167.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7611
281.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7770
286.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22591
836.6 IPS |
|
|
Text Classification (SP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4437
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6297
108.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6458
111.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7457
128.4 IPS |
