Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
35034
Single Precision Score
51345
Half Precision Score
27101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI DDR4 (MS-7D31) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13635
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
19180
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11785
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22918
371.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
29353
475.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20794
338.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
264363
308.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
513684
599.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
231595
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
16711
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23343
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
14429
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
47667
566.4 IPS |
|
|
Face Detection (HP)
|
100% |
62447
742.0 IPS |
|
|
Face Detection (Q)
|
97% |
41024
489.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
83851
646.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
156422
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64979
518.9 IPS |
|
|
Style Transfer (SP)
|
100% |
395895
508.9 IPS |
|
|
Style Transfer (HP)
|
100% |
893130
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
348972
450.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56778
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77981
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42992
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4930
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5711
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2737
51.3 IPS |
