ASUS System Product Name
Geekbench AI Score
45268
Single Precision Score
65661
Half Precision Score
33963
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | i0ntempest |
| Upload Date | August 31 2025 09:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16592
3.09 KIPS |
|
|
Image Classification (HP)
|
100% |
20694
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
14318
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32494
526.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
40105
650.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29884
485.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
405076
472.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
934652
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328394
384.7 IPS |
|
|
Object Detection (SP)
|
100% |
21993
1.74 KIPS |
|
|
Object Detection (HP)
|
100% |
27813
2.21 KIPS |
|
|
Object Detection (Q)
|
85% |
18629
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
63570
755.4 IPS |
|
|
Face Detection (HP)
|
100% |
80444
955.8 IPS |
|
|
Face Detection (Q)
|
97% |
51842
618.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
108237
833.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
187062
1.44 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78268
626.9 IPS |
|
|
Style Transfer (SP)
|
100% |
591567
760.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1562203
2.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
500433
645.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70139
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90588
3.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51418
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2478
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6675
115.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3016
56.6 IPS |
