Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13031
Single Precision Score
12982
Half Precision Score
31943
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aneeshprabhu6 |
| Upload Date | January 07 2026 10:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7143
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7146
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
17029
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8261
133.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8048
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24060
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24884
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25116
29.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
97408
114.0 IPS |
|
|
Object Detection (SP)
|
100% |
8367
663.7 IPS |
|
|
Object Detection (HP)
|
100% |
8243
653.8 IPS |
|
|
Object Detection (Q)
|
88% |
19069
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
17646
209.7 IPS |
|
|
Face Detection (HP)
|
100% |
17710
210.4 IPS |
|
|
Face Detection (Q)
|
100% |
52929
628.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20233
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20432
157.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
59944
466.5 IPS |
|
|
Style Transfer (SP)
|
100% |
63874
82.1 IPS |
|
|
Style Transfer (HP)
|
100% |
64443
82.8 IPS |
|
|
Style Transfer (Q)
|
98% |
232889
300.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12661
467.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12704
469.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35348
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4665
6.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5713
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
8536
147.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8171
140.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9741
167.8 IPS |
