Generic
Geekbench AI Score
13649
Single Precision Score
21596
Half Precision Score
9622
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490 Phantom Gaming 4/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900KF |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5410
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
8400
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
4464
832.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8489
137.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11094
179.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7084
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
77664
90.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
206438
240.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
63391
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
7007
555.8 IPS |
|
|
Object Detection (HP)
|
100% |
10788
855.7 IPS |
|
|
Object Detection (Q)
|
84% |
5552
447.8 IPS |
|
|
Face Detection (SP)
|
100% |
16780
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
24922
296.1 IPS |
|
|
Face Detection (Q)
|
97% |
13573
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34963
269.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64308
495.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
24501
196.3 IPS |
|
|
Style Transfer (SP)
|
100% |
129298
166.2 IPS |
|
|
Style Transfer (HP)
|
100% |
285990
367.6 IPS |
|
|
Style Transfer (Q)
|
98% |
105384
135.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22821
842.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31048
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13941
516.2 IPS |
|
|
Text Classification (SP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (HP)
|
99% |
2747
3.67 KIPS |
|
|
Text Classification (Q)
|
97% |
996
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2676
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2720
46.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1257
23.6 IPS |
