Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
36820
Single Precision Score
61824
Half Precision Score
27738
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| Upload Date | September 30 2025 01:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
14651
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
21536
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
12901
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26058
422.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37054
600.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24033
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
232714
271.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
734549
857.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
197903
231.8 IPS |
|
|
Object Detection (SP)
|
100% |
19176
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
29232
2.32 KIPS |
|
|
Object Detection (Q)
|
86% |
16407
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
57516
683.4 IPS |
|
|
Face Detection (HP)
|
100% |
85074
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
46775
557.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
90118
694.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
171071
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66636
532.1 IPS |
|
|
Style Transfer (SP)
|
100% |
340339
437.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1123417
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
295191
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56540
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88503
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41638
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2347
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6726
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6746
116.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2979
55.9 IPS |
