Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
33471
Single Precision Score
49030
Half Precision Score
25969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metadex |
| Upload Date | January 23 2026 03:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12644
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
17753
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10990
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22578
366.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
29316
475.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20740
337.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
250571
292.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
505173
589.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
221441
259.5 IPS |
|
|
Object Detection (SP)
|
100% |
15998
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
22623
1.79 KIPS |
|
|
Object Detection (Q)
|
85% |
13830
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
47101
559.7 IPS |
|
|
Face Detection (HP)
|
100% |
60911
723.8 IPS |
|
|
Face Detection (Q)
|
97% |
40893
487.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82086
632.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
149621
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61721
492.9 IPS |
|
|
Style Transfer (SP)
|
100% |
379898
488.4 IPS |
|
|
Style Transfer (HP)
|
100% |
861012
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
333240
429.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53701
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72037
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40904
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2157
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5605
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5624
96.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2693
50.5 IPS |
