Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
35730
Single Precision Score
58487
Half Precision Score
26827
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MellowB |
| Upload Date | May 26 2025 09:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 59.50 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12898
2.40 KIPS |
|
|
Image Classification (HP)
|
100% |
19385
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
11489
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30468
493.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
45010
729.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
26943
438.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
236302
275.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
680294
793.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
194992
228.4 IPS |
|
|
Object Detection (SP)
|
100% |
18727
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
28877
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
15672
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
58167
691.1 IPS |
|
|
Face Detection (HP)
|
100% |
83729
994.9 IPS |
|
|
Face Detection (Q)
|
97% |
47036
560.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
86706
668.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
162650
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63824
509.7 IPS |
|
|
Style Transfer (SP)
|
100% |
342889
440.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1061847
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
301992
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52556
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73802
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38603
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
7057
121.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6958
119.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2998
56.2 IPS |
