Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
10294
Single Precision Score
10609
Half Precision Score
25693
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 04:03 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% |
5669
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5846
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
14027
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6911
112.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7311
118.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19802
321.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18247
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18588
21.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
76212
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
6731
533.9 IPS |
|
|
Object Detection (HP)
|
100% |
6319
501.2 IPS |
|
|
Object Detection (Q)
|
88% |
15228
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
13199
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
15307
181.9 IPS |
|
|
Face Detection (Q)
|
100% |
39219
466.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17077
131.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17067
131.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
48260
375.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49343
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50777
65.3 IPS |
|
|
Style Transfer (Q)
|
98% |
188893
243.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9870
364.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10221
377.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27308
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5090
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
6925
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7163
123.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7826
134.8 IPS |
