ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
34612
Single Precision Score
51406
Half Precision Score
26920
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 18 2025 02:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680M-ACE SE |
| Power Plan | Razer Cortex Power Plan |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11334
2.11 KIPS |
|
|
Image Classification (HP)
|
99% |
18660
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10096
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22987
372.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30099
487.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21030
342.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
264647
308.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
526128
613.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
235275
275.7 IPS |
|
|
Object Detection (SP)
|
100% |
16779
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23119
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
14489
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
48490
576.2 IPS |
|
|
Face Detection (HP)
|
100% |
63293
752.1 IPS |
|
|
Face Detection (Q)
|
97% |
41420
493.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
85064
655.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
154796
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65106
519.9 IPS |
|
|
Style Transfer (SP)
|
100% |
397033
510.4 IPS |
|
|
Style Transfer (HP)
|
100% |
890360
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
350202
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55945
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75495
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43407
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2373
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5876
101.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2839
53.3 IPS |
