ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
25288
Single Precision Score
38382
Half Precision Score
14707
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | babernathy |
| Upload Date | July 09 2025 09:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9568
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13833
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6388
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18222
295.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26268
425.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12521
203.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
162786
189.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
336381
392.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
121942
142.9 IPS |
|
|
Object Detection (SP)
|
100% |
12433
986.2 IPS |
|
|
Object Detection (HP)
|
100% |
17937
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
7866
632.7 IPS |
|
|
Face Detection (SP)
|
100% |
34395
408.7 IPS |
|
|
Face Detection (HP)
|
100% |
50580
601.0 IPS |
|
|
Face Detection (Q)
|
97% |
20885
249.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
63594
490.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103740
799.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36837
295.0 IPS |
|
|
Style Transfer (SP)
|
100% |
255487
328.4 IPS |
|
|
Style Transfer (HP)
|
100% |
607942
781.5 IPS |
|
|
Style Transfer (Q)
|
98% |
183604
236.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38879
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55683
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21903
811.0 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3787
5.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1360
25.5 IPS |
