Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
45351
Single Precision Score
66619
Half Precision Score
34063
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 21 2025 12:08 AM |
| Views | 23 |
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% |
16813
3.13 KIPS |
|
|
Image Classification (HP)
|
100% |
21890
4.07 KIPS |
|
|
Image Classification (Q)
|
100% |
14574
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28083
455.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34522
559.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
27223
442.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
399756
466.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
898975
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312904
366.5 IPS |
|
|
Object Detection (SP)
|
100% |
23856
1.89 KIPS |
|
|
Object Detection (HP)
|
100% |
31489
2.50 KIPS |
|
|
Object Detection (Q)
|
85% |
20066
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
64628
767.9 IPS |
|
|
Face Detection (HP)
|
100% |
84844
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
53395
636.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
109765
845.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
191549
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78212
626.4 IPS |
|
|
Style Transfer (SP)
|
100% |
620378
797.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1698766
2.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
523867
675.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74782
2.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97990
3.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53581
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4115
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2459
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6036
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5957
102.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2929
54.9 IPS |
