Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
24113
Single Precision Score
38719
Half Precision Score
14214
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9698
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
14888
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
6418
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17375
281.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25836
418.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11896
193.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
129139
150.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
386082
450.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
103996
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
12343
979.1 IPS |
|
|
Object Detection (HP)
|
100% |
18510
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
8123
653.4 IPS |
|
|
Face Detection (SP)
|
100% |
32188
382.5 IPS |
|
|
Face Detection (HP)
|
100% |
48416
575.3 IPS |
|
|
Face Detection (Q)
|
97% |
21379
254.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
59879
461.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
106724
822.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
34758
278.5 IPS |
|
|
Style Transfer (SP)
|
100% |
241781
310.8 IPS |
|
|
Style Transfer (HP)
|
100% |
597745
768.4 IPS |
|
|
Style Transfer (Q)
|
98% |
177499
228.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36999
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48327
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19613
726.3 IPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1421
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4704
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1420
26.6 IPS |
