Micro-Star International Co., Ltd. MS-7E80
Geekbench AI Score
5882
Single Precision Score
2263
Half Precision Score
8798
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | Technologov |
| Upload Date | April 03 2026 05:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E80 |
| Motherboard | Micro-Star International Co., Ltd. PRO B850-S WIFI6E (MS-7E80) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4503
837.3 IPS |
|
|
Image Classification (HP)
|
100% |
773
143.8 IPS |
|
|
Image Classification (Q)
|
99% |
10917
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3748
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13336
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10410
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
53150
62.3 IPS |
|
|
Object Detection (SP)
|
100% |
4507
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
86% |
9821
789.3 IPS |
|
|
Face Detection (SP)
|
100% |
8991
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
12782
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12479
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25081
200.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26439
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22635
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36236
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
585
784.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3939
79.1 IPS |
