Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
6283
Single Precision Score
2644
Half Precision Score
10913
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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% |
4422
822.3 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.3 IPS |
|
|
Image Classification (Q)
|
99% |
9688
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15586
253.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18709
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12297
14.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
56107
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
4710
373.6 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
86% |
12273
986.4 IPS |
|
|
Face Detection (SP)
|
100% |
8586
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
14156
168.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14802
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3889
30.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
25284
201.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33469
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26145
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38996
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3980
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3311
122.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2266
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4329
87.0 IPS |
