Maxsun MS-Terminator B760ITX D4
Geekbench AI Score
32545
Single Precision Score
44620
Half Precision Score
24055
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 24 2024 04:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | Maxsun MS-Terminator B760ITX D4 |
| Motherboard | Maxsun MS-Terminator B760ITX D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11338
2.11 KIPS |
|
|
Image Classification (HP)
|
99% |
16313
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9650
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18363
297.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21701
351.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16805
273.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
283566
330.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
473277
552.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
243792
285.5 IPS |
|
|
Object Detection (SP)
|
100% |
15861
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
20025
1.59 KIPS |
|
|
Object Detection (Q)
|
89% |
12759
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
41308
490.8 IPS |
|
|
Face Detection (HP)
|
100% |
48580
577.2 IPS |
|
|
Face Detection (Q)
|
97% |
35073
418.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
84509
651.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
135455
1.04 KIPS |
|
|
Depth Estimation (Q)
|
75% |
60639
489.1 IPS |
|
|
Style Transfer (SP)
|
100% |
513583
660.2 IPS |
|
|
Style Transfer (HP)
|
100% |
997204
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
435641
561.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50473
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73532
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38374
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3631
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1965
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1841
41.1 IPS |
