Default string Default string
Geekbench AI Score
3075
Single Precision Score
1186
Half Precision Score
5280
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2403
446.9 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
4850
904.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2678
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4969
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
17282
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.4 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
4767
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
6349
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7097
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6624
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11359
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12415
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8051
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17588
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3155
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
591
788.6 IPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2493
50.1 IPS |
