Gigabyte Technology Co., Ltd. Z790 AORUS MASTER
Geekbench AI Score
41955
Single Precision Score
59037
Half Precision Score
31273
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:57 AM |
| Views | 24 |
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 MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17267
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
20947
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
14391
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22808
369.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26041
422.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20984
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
377762
440.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
842040
982.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
306787
359.8 IPS |
|
|
Object Detection (SP)
|
100% |
20760
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
25594
2.03 KIPS |
|
|
Object Detection (Q)
|
89% |
17207
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
51287
609.4 IPS |
|
|
Face Detection (HP)
|
100% |
60445
718.2 IPS |
|
|
Face Detection (Q)
|
97% |
42953
512.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
108950
839.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
186142
1.43 KIPS |
|
|
Depth Estimation (Q)
|
76% |
77049
621.0 IPS |
|
|
Style Transfer (SP)
|
100% |
614231
789.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1541096
1.98 KIPS |
|
|
Style Transfer (Q)
|
98% |
520944
671.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73662
2.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92928
3.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53318
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
4412
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5376
7.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2645
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5051
87.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2309
51.5 IPS |
