Micro-Star International Co., Ltd. MS-7D73
Geekbench AI Score
35628
Single Precision Score
53508
Half Precision Score
27631
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 05:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D73 |
| Motherboard | Micro-Star International Co., Ltd. MPG B650I EDGE WIFI (MS-7D73) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13165
2.45 KIPS |
|
|
Image Classification (HP)
|
99% |
18771
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11561
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25629
415.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
34864
565.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23387
380.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
257802
300.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
522404
609.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
227042
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
17105
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
24528
1.95 KIPS |
|
|
Object Detection (Q)
|
85% |
14600
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
52978
629.5 IPS |
|
|
Face Detection (HP)
|
100% |
70729
840.4 IPS |
|
|
Face Detection (Q)
|
97% |
44920
535.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
85999
662.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
156589
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65697
524.6 IPS |
|
|
Style Transfer (SP)
|
100% |
401386
516.0 IPS |
|
|
Style Transfer (HP)
|
100% |
924057
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
350410
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55549
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75653
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42663
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4556
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2206
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6338
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6505
112.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2974
55.8 IPS |
