Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX-W
Geekbench AI Score
46737
Single Precision Score
70356
Half Precision Score
33823
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | chocolateshasha |
| Upload Date | June 09 2025 11:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX-W |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX-W |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17143
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
22322
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
14695
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35442
574.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45083
730.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
32023
520.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
383099
447.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
926468
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310030
363.2 IPS |
|
|
Object Detection (SP)
|
100% |
22925
1.82 KIPS |
|
|
Object Detection (HP)
|
100% |
29943
2.38 KIPS |
|
|
Object Detection (Q)
|
85% |
19128
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
66026
784.5 IPS |
|
|
Face Detection (HP)
|
100% |
87187
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
52288
623.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
105094
809.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
191378
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73307
587.2 IPS |
|
|
Style Transfer (SP)
|
100% |
581198
747.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1678133
2.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
488007
629.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74889
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100505
3.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51366
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5364
7.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2417
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
7001
120.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7052
121.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3024
56.7 IPS |
