Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
36367
Single Precision Score
52799
Half Precision Score
31527
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 09:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17010
3.16 KIPS |
|
|
Image Classification (HP)
|
100% |
19644
3.65 KIPS |
|
|
Image Classification (Q)
|
99% |
16177
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20105
325.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23775
385.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26460
430.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
204631
238.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
649903
758.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
187601
219.7 IPS |
|
|
Object Detection (SP)
|
100% |
15795
1.25 KIPS |
|
|
Object Detection (HP)
|
99% |
22426
1.78 KIPS |
|
|
Object Detection (Q)
|
87% |
14487
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
57244
680.2 IPS |
|
|
Face Detection (HP)
|
100% |
69070
820.7 IPS |
|
|
Face Detection (Q)
|
97% |
50103
597.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
86238
664.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
131917
1.02 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72283
579.3 IPS |
|
|
Style Transfer (SP)
|
100% |
389243
500.4 IPS |
|
|
Style Transfer (HP)
|
100% |
733832
943.4 IPS |
|
|
Style Transfer (Q)
|
98% |
356133
459.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52061
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88055
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43732
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4937
6.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
97% |
3453
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
7414
127.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7662
132.0 IPS |
|
|
Machine Translation (Q)
|
70% |
4282
80.3 IPS |
