Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
30575
Single Precision Score
54680
Half Precision Score
23205
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 30 2025 04:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11615
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
20182
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
10460
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24400
395.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
38560
625.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21281
346.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
169417
197.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
496910
579.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
145482
170.4 IPS |
|
|
Object Detection (SP)
|
100% |
16607
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
29655
2.35 KIPS |
|
|
Object Detection (Q)
|
83% |
13633
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
45462
540.2 IPS |
|
|
Face Detection (HP)
|
100% |
70216
834.3 IPS |
|
|
Face Detection (Q)
|
97% |
37576
448.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
70663
544.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
133143
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54910
438.3 IPS |
|
|
Style Transfer (SP)
|
100% |
236065
303.5 IPS |
|
|
Style Transfer (HP)
|
100% |
822938
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
201166
259.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42886
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79590
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33595
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4522
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2331
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
7346
126.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7525
129.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3155
59.2 IPS |
