Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
34338
Single Precision Score
50656
Half Precision Score
26516
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:22 PM |
| Views | 7 |
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-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12895
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
18099
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11270
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23291
377.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30386
492.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21178
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
260306
303.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
510678
595.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
230335
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
16432
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
23482
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
14246
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
47958
569.8 IPS |
|
|
Face Detection (HP)
|
100% |
63288
752.0 IPS |
|
|
Face Detection (Q)
|
97% |
41361
493.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
82931
638.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
150471
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62534
499.4 IPS |
|
|
Style Transfer (SP)
|
100% |
370100
475.8 IPS |
|
|
Style Transfer (HP)
|
100% |
873641
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
336747
434.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54449
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74183
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41585
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3797
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4765
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2295
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5830
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2640
49.5 IPS |
