Standard Standard
Geekbench AI Score
2711
Single Precision Score
1148
Half Precision Score
3377
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Standard Standard |
| Motherboard | Standard Standard |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
99% |
2803
522.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2123
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5139
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3271
3.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
17925
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
88% |
1668
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
3399
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6346
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1697
13.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6791
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12647
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8191
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16333
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2296
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3391
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
519
692.5 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1914
42.7 IPS |
