ASUS System Product Name
Geekbench AI Score
52620
Single Precision Score
78037
Half Precision Score
38231
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | January 01 2026 08:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19040
3.54 KIPS |
|
|
Image Classification (HP)
|
100% |
24824
4.62 KIPS |
|
|
Image Classification (Q)
|
100% |
16395
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40530
657.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
50896
825.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
36369
591.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
443882
517.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1078936
1.26 KIPS |
|
|
Pose Estimation (Q)
|
96% |
356478
417.6 IPS |
|
|
Object Detection (SP)
|
100% |
25897
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
33085
2.62 KIPS |
|
|
Object Detection (Q)
|
85% |
21783
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
74263
882.4 IPS |
|
|
Face Detection (HP)
|
100% |
95956
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
59984
715.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
118433
912.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
207977
1.60 KIPS |
|
|
Depth Estimation (Q)
|
77% |
84396
676.0 IPS |
|
|
Style Transfer (SP)
|
100% |
672632
864.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1871524
2.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
556193
717.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83601
3.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110247
4.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58677
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4716
6.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2764
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
7867
135.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7925
136.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3155
59.2 IPS |
