Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
8321
Single Precision Score
2911
Half Precision Score
13803
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kryptonite5 |
| Upload Date | April 08 2025 04:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5570
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
912
169.6 IPS |
|
|
Image Classification (Q)
|
99% |
12873
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5492
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24842
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16205
18.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
72952
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
6433
510.2 IPS |
|
|
Object Detection (HP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (Q)
|
86% |
15357
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
11635
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
16184
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18902
145.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4328
33.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
32976
263.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45966
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34736
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
58530
75.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6668
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6894
138.5 IPS |
