I7 12700K -64GB RAM - ASUS System Product Name ASUS System Product Name
Geekbench AI Score
4324
Single Precision Score
1684
Half Precision Score
7150
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | microtechcs |
| Upload Date | February 16 2025 05:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3433
638.4 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
99% |
6353
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3501
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7664
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4639
5.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
25445
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2936
232.9 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
86% |
6565
527.6 IPS |
|
|
Face Detection (SP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
9434
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9777
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2383
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15612
124.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17645
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11655
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22349
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1829
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3255
65.4 IPS |
