Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
33626
Single Precision Score
49355
Half Precision Score
25432
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZachDNichols |
| Upload Date | September 29 2025 08:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
12249
2.28 KIPS |
|
|
Image Classification (HP)
|
99% |
17692
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10467
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24281
393.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
32765
531.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20836
338.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
256717
299.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
483057
563.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
222774
261.0 IPS |
|
|
Object Detection (SP)
|
100% |
16160
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
23042
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
13847
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
48877
580.8 IPS |
|
|
Face Detection (HP)
|
100% |
65147
774.1 IPS |
|
|
Face Detection (Q)
|
97% |
41753
497.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
80936
623.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
143971
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61023
487.3 IPS |
|
|
Style Transfer (SP)
|
100% |
383920
493.5 IPS |
|
|
Style Transfer (HP)
|
100% |
871957
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
335711
432.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52520
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72751
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39376
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5594
96.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2583
48.5 IPS |
