ASUS System Product Name
Geekbench AI Score
41655
Single Precision Score
49608
Half Precision Score
32089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:15 AM |
| Views | 2 |
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 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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% |
17521
3.26 KIPS |
|
|
Image Classification (HP)
|
100% |
19374
3.60 KIPS |
|
|
Image Classification (Q)
|
99% |
14886
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28279
458.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25360
411.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
25382
412.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
317694
370.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
561075
654.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
275432
322.6 IPS |
|
|
Object Detection (SP)
|
100% |
19629
1.56 KIPS |
|
|
Object Detection (HP)
|
99% |
21524
1.71 KIPS |
|
|
Object Detection (Q)
|
87% |
16914
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
61602
732.0 IPS |
|
|
Face Detection (HP)
|
100% |
70758
840.8 IPS |
|
|
Face Detection (Q)
|
97% |
47395
565.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
82190
633.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105274
811.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
64528
517.1 IPS |
|
|
Style Transfer (SP)
|
100% |
488535
628.0 IPS |
|
|
Style Transfer (HP)
|
100% |
777114
999.0 IPS |
|
|
Style Transfer (Q)
|
98% |
441208
568.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58242
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74800
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44161
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
5224
6.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
3121
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6764
116.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7153
123.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3537
66.3 IPS |
