Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
36605
Single Precision Score
52464
Half Precision Score
31682
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 05:40 PM |
| Views | 6 |
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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17018
3.16 KIPS |
|
|
Image Classification (HP)
|
100% |
19663
3.66 KIPS |
|
|
Image Classification (Q)
|
99% |
15990
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20752
336.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24566
398.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27748
451.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
211994
247.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
659530
769.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
193659
226.8 IPS |
|
|
Object Detection (SP)
|
100% |
16001
1.27 KIPS |
|
|
Object Detection (HP)
|
99% |
21701
1.72 KIPS |
|
|
Object Detection (Q)
|
87% |
14785
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
56461
670.9 IPS |
|
|
Face Detection (HP)
|
100% |
69014
820.0 IPS |
|
|
Face Detection (Q)
|
97% |
49372
588.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
82913
638.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
126007
970.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
71612
573.9 IPS |
|
|
Style Transfer (SP)
|
100% |
399644
513.7 IPS |
|
|
Style Transfer (HP)
|
100% |
727981
935.8 IPS |
|
|
Style Transfer (Q)
|
98% |
363220
468.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53200
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88573
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43931
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4630
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5093
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
3281
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7826
134.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8002
137.8 IPS |
|
|
Machine Translation (Q)
|
70% |
4334
81.3 IPS |
