Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
51002
Single Precision Score
76693
Half Precision Score
37100
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DMWbishop |
| Upload Date | April 06 2025 03:37 AM |
| Views | 15 |
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. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17671
3.29 KIPS |
|
|
Image Classification (HP)
|
100% |
23103
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
15279
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39922
647.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
52738
854.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
37349
607.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
420007
490.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
997951
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
327995
384.2 IPS |
|
|
Object Detection (SP)
|
100% |
26071
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
34909
2.77 KIPS |
|
|
Object Detection (Q)
|
85% |
21411
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
80064
951.3 IPS |
|
|
Face Detection (HP)
|
100% |
106959
1.27 KIPS |
|
|
Face Detection (Q)
|
97% |
63214
753.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
114157
879.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
201363
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80709
646.4 IPS |
|
|
Style Transfer (SP)
|
100% |
658806
846.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1879028
2.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
551032
710.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79928
2.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104538
3.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55874
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2411
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
7655
131.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7642
131.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3255
61.1 IPS |
