Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
52350
Single Precision Score
79719
Half Precision Score
37771
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | czegocitrzeba |
| Upload Date | June 28 2025 05:16 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19079
3.55 KIPS |
|
|
Image Classification (HP)
|
100% |
25338
4.71 KIPS |
|
|
Image Classification (Q)
|
100% |
16158
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41333
670.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
54625
885.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
38056
618.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
426563
497.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1015752
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
339969
398.2 IPS |
|
|
Object Detection (SP)
|
100% |
26966
2.14 KIPS |
|
|
Object Detection (HP)
|
100% |
36157
2.87 KIPS |
|
|
Object Detection (Q)
|
85% |
21625
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
82640
981.9 IPS |
|
|
Face Detection (HP)
|
100% |
113587
1.35 KIPS |
|
|
Face Detection (Q)
|
97% |
64314
766.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
111693
860.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
202924
1.56 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79452
636.4 IPS |
|
|
Style Transfer (SP)
|
100% |
630163
810.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1857846
2.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
527588
680.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79793
2.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
107134
3.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56200
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4523
6.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2583
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
8119
139.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8093
139.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3341
62.7 IPS |
