Default string Default string
Geekbench AI Score
15421
Single Precision Score
26387
Half Precision Score
11899
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | herman_han |
| Upload Date | December 13 2024 04:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6484
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
11001
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
5477
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10101
163.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13239
214.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9283
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
61414
71.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
201533
235.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
55859
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
8018
636.0 IPS |
|
|
Object Detection (HP)
|
100% |
14066
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
7171
578.4 IPS |
|
|
Face Detection (SP)
|
100% |
18596
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
29155
346.4 IPS |
|
|
Face Detection (Q)
|
97% |
16744
199.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
35397
272.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75781
585.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
29463
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
137392
176.6 IPS |
|
|
Style Transfer (HP)
|
100% |
340451
437.7 IPS |
|
|
Style Transfer (Q)
|
98% |
108433
139.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25219
931.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41681
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18552
687.0 IPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
97% |
3226
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1633
30.6 IPS |
