ASUS System Product Name
Geekbench AI Score
18958
Single Precision Score
19634
Half Precision Score
14187
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | December 12 2024 03:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610I-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8580
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
6384
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6102
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12484
202.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10439
169.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10802
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
162917
190.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
185925
216.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
141310
165.5 IPS |
|
|
Object Detection (SP)
|
100% |
6872
545.1 IPS |
|
|
Object Detection (HP)
|
99% |
6382
506.3 IPS |
|
|
Object Detection (Q)
|
87% |
6716
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
27694
329.1 IPS |
|
|
Face Detection (HP)
|
100% |
26788
318.3 IPS |
|
|
Face Detection (Q)
|
97% |
20247
241.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55675
428.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49151
378.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
41396
331.7 IPS |
|
|
Style Transfer (SP)
|
100% |
233295
299.9 IPS |
|
|
Style Transfer (HP)
|
100% |
355599
457.1 IPS |
|
|
Style Transfer (Q)
|
98% |
206608
266.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24675
911.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34388
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19340
716.1 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1262
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2593
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1250
23.4 IPS |
