MAINGEAR North
Geekbench AI Score
40775
Single Precision Score
59388
Half Precision Score
30626
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 02 2025 01:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAINGEAR North |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14928
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
18651
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
12779
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30919
501.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
38420
622.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28303
460.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
366320
427.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
867825
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
302131
353.9 IPS |
|
|
Object Detection (SP)
|
100% |
19596
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
24115
1.91 KIPS |
|
|
Object Detection (Q)
|
85% |
16088
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
60979
724.6 IPS |
|
|
Face Detection (HP)
|
100% |
76779
912.3 IPS |
|
|
Face Detection (Q)
|
97% |
50778
605.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
96444
743.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
170103
1.31 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71959
576.4 IPS |
|
|
Style Transfer (SP)
|
100% |
533023
685.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1401619
1.80 KIPS |
|
|
Style Transfer (Q)
|
98% |
450839
581.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59995
2.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77488
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43881
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2088
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6018
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2736
51.3 IPS |
