Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
6267
Single Precision Score
2446
Half Precision Score
11106
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:32 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4454
828.3 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.2 IPS |
|
|
Image Classification (Q)
|
99% |
10493
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5021
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18296
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12037
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
55908
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
4668
370.3 IPS |
|
|
Object Detection (HP)
|
100% |
969
76.9 IPS |
|
|
Object Detection (Q)
|
86% |
11313
909.2 IPS |
|
|
Face Detection (SP)
|
100% |
8284
98.4 IPS |
|
|
Face Detection (HP)
|
100% |
2250
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
13882
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14445
111.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3694
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25124
200.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34012
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26568
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38452
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3958
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5519
204.4 IPS |
|
|
Text Classification (SP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2040
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5675
114.0 IPS |
