ASUS All Series
Geekbench AI Score
5480
Single Precision Score
5742
Half Precision Score
4146
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 09:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon R9 200 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VII RANGER |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (Q)
|
100% |
1859
345.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3878
62.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3061
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19618
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19927
23.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
18138
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
3323
263.6 IPS |
|
|
Object Detection (Q)
|
88% |
2402
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
6440
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
6676
79.3 IPS |
|
|
Face Detection (Q)
|
97% |
5142
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12494
96.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13289
102.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
9744
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
39751
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40346
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35658
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7896
291.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8394
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5988
221.7 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
94% |
1674
29.0 IPS |
|
|
Machine Translation (Q)
|
60% |
724
16.3 IPS |
