Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
36685
Single Precision Score
50054
Half Precision Score
27402
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | abhimanbhau |
| Upload Date | August 31 2024 01:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13056
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
17126
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
10907
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23210
376.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
29074
471.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21801
354.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
307830
359.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
523403
610.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
267907
313.7 IPS |
|
|
Object Detection (SP)
|
100% |
17654
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
22479
1.78 KIPS |
|
|
Object Detection (Q)
|
89% |
15007
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49297
585.8 IPS |
|
|
Face Detection (HP)
|
100% |
60128
714.5 IPS |
|
|
Face Detection (Q)
|
97% |
41245
491.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
90237
695.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
151962
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65836
531.5 IPS |
|
|
Style Transfer (SP)
|
100% |
549841
706.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1036314
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
468996
604.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58439
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77743
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42939
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4386
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2130
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5219
89.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2144
47.8 IPS |
