Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
36287
Single Precision Score
60533
Half Precision Score
27290
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:58 AM |
| Views | 10 |
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% |
14545
2.70 KIPS |
|
|
Image Classification (HP)
|
100% |
21338
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
12625
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26061
422.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
36927
598.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23586
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
231371
270.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
696804
813.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
196950
230.7 IPS |
|
|
Object Detection (SP)
|
100% |
19332
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
29755
2.36 KIPS |
|
|
Object Detection (Q)
|
86% |
16366
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
57205
679.7 IPS |
|
|
Face Detection (HP)
|
100% |
82676
982.4 IPS |
|
|
Face Detection (Q)
|
97% |
45720
545.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89409
688.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
167368
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65562
523.5 IPS |
|
|
Style Transfer (SP)
|
100% |
338656
435.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1104515
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
293717
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54445
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82890
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40006
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2285
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6673
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6737
116.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2966
55.6 IPS |
