System manufacturer System Product Name
Geekbench AI Score
3209
Single Precision Score
1339
Half Precision Score
3109
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-F GAMING |
| Power Plan | Hy ytelse |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
96% |
2793
521.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2061
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6799
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (Q)
|
87% |
11276
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
1813
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
3626
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7024
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1808
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5535
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15887
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12195
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
15195
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2563
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2890
107.1 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.3 IPS |
|
|
Text Classification (Q)
|
97% |
477
639.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1706
38.1 IPS |
