Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
34810
Single Precision Score
46668
Half Precision Score
26278
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 07:25 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13101
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
17152
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
10926
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18973
307.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22571
365.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17377
282.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
306683
357.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
494518
577.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
267996
313.8 IPS |
|
|
Object Detection (SP)
|
100% |
17303
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
21977
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
14977
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
43916
521.8 IPS |
|
|
Face Detection (HP)
|
100% |
52027
618.2 IPS |
|
|
Face Detection (Q)
|
97% |
37195
443.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
89587
690.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
150420
1.16 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65940
532.3 IPS |
|
|
Style Transfer (SP)
|
100% |
549593
706.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1029457
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
461664
595.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57232
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74729
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42523
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4400
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2159
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4478
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1982
44.2 IPS |
