ASUS System Product Name
Geekbench AI Score
22694
Single Precision Score
32677
Half Precision Score
14105
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 03:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9034
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
12322
2.30 KIPS |
|
|
Image Classification (Q)
|
100% |
5868
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13502
218.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18390
298.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10551
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
169388
197.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
339212
395.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
128156
150.2 IPS |
|
|
Object Detection (SP)
|
100% |
11219
889.9 IPS |
|
|
Object Detection (HP)
|
100% |
13950
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
7440
598.5 IPS |
|
|
Face Detection (SP)
|
100% |
28784
342.0 IPS |
|
|
Face Detection (HP)
|
100% |
37593
446.7 IPS |
|
|
Face Detection (Q)
|
97% |
19930
237.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
61395
473.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96835
746.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36294
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
249501
320.7 IPS |
|
|
Style Transfer (HP)
|
100% |
570885
733.9 IPS |
|
|
Style Transfer (Q)
|
98% |
188564
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38561
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52931
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21262
787.3 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |
