Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
31946
Single Precision Score
46191
Half Precision Score
24511
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 07:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12080
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
16730
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
10481
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20073
325.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25058
406.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18435
299.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
254680
297.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
505077
589.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
225940
264.6 IPS |
|
|
Object Detection (SP)
|
100% |
15176
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
21067
1.67 KIPS |
|
|
Object Detection (Q)
|
89% |
12747
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
41686
495.3 IPS |
|
|
Face Detection (HP)
|
100% |
52577
624.7 IPS |
|
|
Face Detection (Q)
|
97% |
35224
420.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
75942
585.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
143260
1.11 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57554
463.7 IPS |
|
|
Style Transfer (SP)
|
100% |
391248
503.0 IPS |
|
|
Style Transfer (HP)
|
100% |
879091
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
344446
444.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52572
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69693
2.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40690
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2197
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5268
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5188
89.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2254
50.3 IPS |
