Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
36356
Single Precision Score
60806
Half Precision Score
27356
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:30 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% |
14654
2.73 KIPS |
|
|
Image Classification (HP)
|
100% |
21409
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12647
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26160
424.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36944
598.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23533
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
231430
270.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
697666
814.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
196553
230.2 IPS |
|
|
Object Detection (SP)
|
100% |
19326
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
29626
2.35 KIPS |
|
|
Object Detection (Q)
|
86% |
16401
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
57450
682.6 IPS |
|
|
Face Detection (HP)
|
100% |
83300
989.8 IPS |
|
|
Face Detection (Q)
|
97% |
46120
549.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88833
684.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
173035
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65377
522.1 IPS |
|
|
Style Transfer (SP)
|
100% |
338112
434.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1086663
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
293287
378.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53643
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83476
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39938
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2329
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6741
116.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2975
55.8 IPS |
