Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
37068
Single Precision Score
61889
Half Precision Score
28077
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 09:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14973
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
22138
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
13170
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24880
403.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
34283
555.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23085
375.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
237418
277.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
714684
833.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
203164
238.0 IPS |
|
|
Object Detection (SP)
|
100% |
19947
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
31548
2.50 KIPS |
|
|
Object Detection (Q)
|
86% |
16990
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
55488
659.3 IPS |
|
|
Face Detection (HP)
|
100% |
80127
952.1 IPS |
|
|
Face Detection (Q)
|
97% |
45276
539.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
92226
710.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
174678
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67104
535.9 IPS |
|
|
Style Transfer (SP)
|
100% |
354926
456.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1156039
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
306730
395.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58598
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90207
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43309
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5126
6.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6414
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6440
110.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2959
55.5 IPS |
