Z690M Phantom Gaming 4
Geekbench AI Score
3981
Single Precision Score
1627
Half Precision Score
6685
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gergoke68 |
| Upload Date | December 28 2024 09:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z690M Phantom Gaming 4 |
| Motherboard | ASRock Z690M Phantom Gaming 4 |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3266
607.4 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
6496
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3293
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6999
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4891
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
24306
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2943
233.4 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
5852
470.3 IPS |
|
|
Face Detection (SP)
|
100% |
5910
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
8675
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2299
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15036
120.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16115
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11520
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20249
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4130
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1747
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3078
61.9 IPS |
