PC with i9900k / RTX4090 Generic
Geekbench AI Score
2889
Single Precision Score
1213
Half Precision Score
3922
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | February 03 2025 07:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z390 Taichi |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.0 IPS |
|
|
Image Classification (Q)
|
96% |
3801
709.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2078
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5006
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4073
4.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
9936
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (Q)
|
58% |
2626
286.9 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
6136
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1628
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8779
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12525
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9940
12.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13057
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2519
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.8 IPS |
|
|
Text Classification (Q)
|
97% |
1167
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2021
39.0 IPS |
