Generic
Geekbench AI Score
15171
Single Precision Score
16179
Half Precision Score
9259
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jmsolomon2000 |
| Upload Date | November 13 2024 04:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z590-C/ac |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6561
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
4000
743.8 IPS |
|
|
Image Classification (Q)
|
100% |
3608
671.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11392
184.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12462
202.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9407
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83703
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
257798
300.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
69199
81.1 IPS |
|
|
Object Detection (SP)
|
100% |
7424
588.9 IPS |
|
|
Object Detection (HP)
|
100% |
6269
497.3 IPS |
|
|
Object Detection (Q)
|
89% |
4995
399.9 IPS |
|
|
Face Detection (SP)
|
100% |
20469
243.2 IPS |
|
|
Face Detection (HP)
|
100% |
18579
220.8 IPS |
|
|
Face Detection (Q)
|
97% |
14581
173.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33657
259.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33568
259.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
23153
186.4 IPS |
|
|
Style Transfer (SP)
|
100% |
155866
200.4 IPS |
|
|
Style Transfer (HP)
|
100% |
415331
533.9 IPS |
|
|
Style Transfer (Q)
|
98% |
123348
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22408
827.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18778
693.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15066
557.9 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (Q)
|
97% |
709
949.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1924
33.3 IPS |
|
|
Machine Translation (Q)
|
60% |
888
19.8 IPS |
