bluechip Computer AG BUSINESSline
Geekbench AI Score
1022
Single Precision Score
372
Half Precision Score
1106
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StreamTotal |
| Upload Date | August 17 2024 02:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | bluechip Computer AG BUSINESSline |
| Motherboard | ASUSTeK COMPUTER INC. Z97-C |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
625
116.3 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (Q)
|
97% |
871
162.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1800
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1444
1.68 IPS |
|
|
Pose Estimation (Q)
|
87% |
2414
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.41 IPS |
|
|
Object Detection (Q)
|
86% |
599
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
175
2.08 IPS |
|
|
Face Detection (Q)
|
96% |
1546
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1929
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
490
3.78 IPS |
|
|
Depth Estimation (Q)
|
76% |
2073
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4312
5.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3355
4.31 IPS |
|
|
Style Transfer (Q)
|
87% |
4763
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
700
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
920
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
381
507.9 IPS |
|
|
Text Classification (Q)
|
97% |
266
356.0 IPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
60% |
830
18.5 IPS |
