System manufacturer PRIME Z390-A
Geekbench AI Score
1894
Single Precision Score
896
Half Precision Score
2105
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ahillnap |
| Upload Date | October 13 2024 06:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer PRIME Z390-A |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-A |
| Power Plan | Ultimate Performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (Q)
|
96% |
1874
350.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1463
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
87% |
7415
8.76 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
86% |
1182
95.0 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
825
9.80 IPS |
|
|
Face Detection (Q)
|
96% |
2459
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3797
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1241
9.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
3876
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8995
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7005
9.01 IPS |
|
|
Style Transfer (Q)
|
87% |
9921
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1947
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.9 IPS |
|
|
Text Classification (Q)
|
97% |
347
464.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1116
24.9 IPS |
