Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
38741
Single Precision Score
46577
Half Precision Score
30617
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15964
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
17341
3.22 KIPS |
|
|
Image Classification (Q)
|
99% |
14118
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27209
441.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24335
394.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
24929
405.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
283040
330.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
510432
595.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
257068
301.1 IPS |
|
|
Object Detection (SP)
|
100% |
19081
1.51 KIPS |
|
|
Object Detection (HP)
|
99% |
20737
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16278
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
52034
618.3 IPS |
|
|
Face Detection (HP)
|
100% |
63215
751.1 IPS |
|
|
Face Detection (Q)
|
97% |
45361
540.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
81185
625.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100897
777.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
61665
494.2 IPS |
|
|
Style Transfer (SP)
|
100% |
467005
600.3 IPS |
|
|
Style Transfer (HP)
|
100% |
737023
947.5 IPS |
|
|
Style Transfer (Q)
|
98% |
414510
534.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55149
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70511
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42271
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
4631
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4660
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2996
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6444
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6965
120.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3348
62.8 IPS |
