Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
46531
Single Precision Score
68649
Half Precision Score
34650
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 27 2025 09:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17072
3.17 KIPS |
|
|
Image Classification (HP)
|
100% |
22068
4.10 KIPS |
|
|
Image Classification (Q)
|
100% |
14829
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31206
505.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
38971
631.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29745
483.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
393837
459.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
912481
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
307554
360.3 IPS |
|
|
Object Detection (SP)
|
100% |
24371
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
31066
2.46 KIPS |
|
|
Object Detection (Q)
|
85% |
20159
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
68554
814.6 IPS |
|
|
Face Detection (HP)
|
100% |
90335
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
55766
665.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
110722
853.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
193552
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79023
632.9 IPS |
|
|
Style Transfer (SP)
|
100% |
607653
781.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1691489
2.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
517957
667.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74200
2.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98336
3.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53472
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4147
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2484
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6557
113.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6563
113.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3009
56.4 IPS |
