Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
10385
Single Precision Score
10582
Half Precision Score
26056
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| Upload Date | September 30 2025 01:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E18 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-VC WIFI III (MS-7E18) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5335
992.1 IPS |
|
|
Image Classification (HP)
|
100% |
6065
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
13962
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7709
125.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6929
112.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20025
324.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18114
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18374
21.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
75560
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
6575
521.5 IPS |
|
|
Object Detection (HP)
|
100% |
6668
528.9 IPS |
|
|
Object Detection (Q)
|
88% |
15349
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
13991
166.2 IPS |
|
|
Face Detection (HP)
|
100% |
14551
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
39868
473.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16397
126.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16852
129.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
47241
367.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49050
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50091
64.4 IPS |
|
|
Style Transfer (Q)
|
98% |
190206
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9987
368.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10162
375.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28989
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3765
5.02 KIPS |
|
|
Text Classification (Q)
|
92% |
5130
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
7200
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7281
125.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8351
143.9 IPS |
