Micro-Star International Co., Ltd. MS-7E18
Geekbench AI Score
36424
Single Precision Score
61122
Half Precision Score
27403
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | August 31 2025 03:36 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% |
14665
2.73 KIPS |
|
|
Image Classification (HP)
|
100% |
21606
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12609
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25988
421.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
37076
601.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
23757
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
231833
270.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
696374
812.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
196753
230.5 IPS |
|
|
Object Detection (SP)
|
100% |
19142
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
29268
2.32 KIPS |
|
|
Object Detection (Q)
|
86% |
16292
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
56996
677.2 IPS |
|
|
Face Detection (HP)
|
100% |
85136
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
46244
551.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
89101
686.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
169331
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65489
523.0 IPS |
|
|
Style Transfer (SP)
|
100% |
339845
436.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1101107
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
294886
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54059
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82984
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40200
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4983
6.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6752
116.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6791
117.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2923
54.8 IPS |
