ASUS System Product Name
Geekbench AI Score
36169
Single Precision Score
59072
Half Precision Score
27164
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | StressFingers |
| Upload Date | May 02 2025 09:28 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15206
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
21314
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
13253
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29368
476.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
40660
659.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
24839
403.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
246867
288.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
714100
833.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
210032
246.0 IPS |
|
|
Object Detection (SP)
|
100% |
16820
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
26281
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
14795
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
53327
633.6 IPS |
|
|
Face Detection (HP)
|
100% |
74951
890.6 IPS |
|
|
Face Detection (Q)
|
97% |
40157
478.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
92784
714.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
170778
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65682
524.5 IPS |
|
|
Style Transfer (SP)
|
100% |
350775
450.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1122801
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
317594
409.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57658
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84297
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41775
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4425
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5952
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5934
102.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2772
52.0 IPS |
