Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
6526
Single Precision Score
6554
Half Precision Score
10337
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | December 03 2025 02:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.98 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3938
732.3 IPS |
|
|
Image Classification (HP)
|
100% |
3984
740.9 IPS |
|
|
Image Classification (Q)
|
100% |
6488
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5111
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4999
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8943
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9074
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9098
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
19643
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
4046
320.9 IPS |
|
|
Object Detection (HP)
|
100% |
4026
319.3 IPS |
|
|
Object Detection (Q)
|
87% |
7349
589.4 IPS |
|
|
Face Detection (SP)
|
100% |
10026
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
10329
122.7 IPS |
|
|
Face Detection (Q)
|
97% |
22175
264.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10088
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10165
78.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
19892
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25012
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25496
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55602
71.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10537
390.3 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (Q)
|
91% |
1314
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4915
84.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4898
84.4 IPS |
