Wizard-2025 9900x Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
11590
Single Precision Score
11627
Half Precision Score
29123
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | joslloyd |
| Upload Date | January 01 2026 07:59 PM |
| Views | 2 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6519
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6610
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
15927
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7966
129.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7627
123.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22029
357.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22450
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22396
26.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
88597
103.7 IPS |
|
|
Object Detection (SP)
|
100% |
6828
541.6 IPS |
|
|
Object Detection (HP)
|
100% |
6866
544.6 IPS |
|
|
Object Detection (Q)
|
88% |
17641
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
14722
174.9 IPS |
|
|
Face Detection (HP)
|
100% |
14399
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
48747
579.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19083
147.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19242
148.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
54017
420.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58541
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58927
75.8 IPS |
|
|
Style Transfer (Q)
|
98% |
214109
276.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11721
432.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11681
431.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32833
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5314
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
7120
122.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7536
129.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8139
140.2 IPS |
