Generic
Geekbench AI Score
24389
Single Precision Score
32463
Half Precision Score
19697
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Master SLI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9981
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
12815
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
8836
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11089
179.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12382
200.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10576
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
236719
276.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
412086
480.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
212757
249.1 IPS |
|
|
Object Detection (SP)
|
100% |
11537
915.1 IPS |
|
|
Object Detection (HP)
|
100% |
14714
1.17 KIPS |
|
|
Object Detection (Q)
|
89% |
9903
792.8 IPS |
|
|
Face Detection (SP)
|
100% |
25559
303.7 IPS |
|
|
Face Detection (HP)
|
100% |
28689
340.9 IPS |
|
|
Face Detection (Q)
|
97% |
22935
273.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
69868
538.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
120804
933.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
54248
437.0 IPS |
|
|
Style Transfer (SP)
|
100% |
346966
446.0 IPS |
|
|
Style Transfer (HP)
|
100% |
670903
862.5 IPS |
|
|
Style Transfer (Q)
|
98% |
311590
401.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44066
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55045
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35278
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3668
4.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2085
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2900
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1566
34.9 IPS |
