Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
38835
Single Precision Score
46445
Half Precision Score
30537
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aneeshprabhu6 |
| Upload Date | January 07 2026 10:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| 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% |
16855
3.13 KIPS |
|
|
Image Classification (HP)
|
100% |
17832
3.32 KIPS |
|
|
Image Classification (Q)
|
99% |
14420
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26592
431.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23032
373.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24124
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
278256
324.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
508376
593.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
244140
286.0 IPS |
|
|
Object Detection (SP)
|
100% |
18141
1.44 KIPS |
|
|
Object Detection (HP)
|
99% |
20062
1.59 KIPS |
|
|
Object Detection (Q)
|
87% |
15907
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
57283
680.7 IPS |
|
|
Face Detection (HP)
|
100% |
67218
798.7 IPS |
|
|
Face Detection (Q)
|
97% |
46810
558.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
80127
617.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102166
787.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
68089
545.6 IPS |
|
|
Style Transfer (SP)
|
100% |
459338
590.5 IPS |
|
|
Style Transfer (HP)
|
100% |
720924
926.8 IPS |
|
|
Style Transfer (Q)
|
98% |
402312
518.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51794
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69292
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41620
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4741
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2976
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6663
114.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6905
118.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3287
61.6 IPS |
