MouseComputer FXI9G90B7ADC
Geekbench AI Score
38491
Single Precision Score
52470
Half Precision Score
29253
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 08:16 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer FXI9G90B7ADC |
| Motherboard | MouseComputer Z790-S01 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13767
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
17887
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11827
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24933
404.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31286
507.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22526
366.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
314259
366.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
545567
636.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
272875
319.7 IPS |
|
|
Object Detection (SP)
|
100% |
18342
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23368
1.85 KIPS |
|
|
Object Detection (Q)
|
86% |
15518
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53700
638.1 IPS |
|
|
Face Detection (HP)
|
100% |
65547
778.8 IPS |
|
|
Face Detection (Q)
|
97% |
45800
546.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
99075
763.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
160603
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72415
579.2 IPS |
|
|
Style Transfer (SP)
|
100% |
566309
728.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1087909
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
480854
620.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59910
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79051
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44486
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4487
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5540
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5458
94.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2620
49.1 IPS |
