Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
45355
Single Precision Score
66724
Half Precision Score
34039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 21 2025 12:31 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16810
3.13 KIPS |
|
|
Image Classification (HP)
|
100% |
21566
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
14432
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28121
455.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34355
556.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
27594
448.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
393992
459.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
905817
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
311783
365.2 IPS |
|
|
Object Detection (SP)
|
100% |
24182
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
31585
2.51 KIPS |
|
|
Object Detection (Q)
|
85% |
20021
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
64224
763.1 IPS |
|
|
Face Detection (HP)
|
100% |
84320
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
52997
632.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
110118
848.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
191926
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78449
628.3 IPS |
|
|
Style Transfer (SP)
|
100% |
619134
795.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1709029
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
525706
677.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74820
2.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98496
3.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53662
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5015
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2474
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2895
54.3 IPS |
