ASUS System Product Name
Geekbench AI Score
32619
Single Precision Score
36513
Half Precision Score
26135
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | siortuth |
| Upload Date | December 30 2024 09:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14090
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
15045
2.80 KIPS |
|
|
Image Classification (Q)
|
99% |
12108
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18078
293.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16728
271.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16693
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
276414
322.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
379379
442.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
244523
286.4 IPS |
|
|
Object Detection (SP)
|
100% |
15659
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
17606
1.40 KIPS |
|
|
Object Detection (Q)
|
87% |
13725
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
40289
478.7 IPS |
|
|
Face Detection (HP)
|
100% |
43862
521.2 IPS |
|
|
Face Detection (Q)
|
97% |
36550
435.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
73349
565.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
89345
688.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
58694
470.4 IPS |
|
|
Style Transfer (SP)
|
100% |
434571
558.6 IPS |
|
|
Style Transfer (HP)
|
100% |
607069
780.4 IPS |
|
|
Style Transfer (Q)
|
98% |
392051
505.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51304
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59209
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39273
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4638
6.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4303
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2737
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2425
45.5 IPS |
