Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4
Geekbench AI Score
3238
Single Precision Score
1367
Half Precision Score
5706
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GyBHard |
| Upload Date | February 02 2025 01:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2609
485.3 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
99% |
4522
843.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2862
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5375
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
19734
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
5273
423.8 IPS |
|
|
Face Detection (SP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
8109
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6895
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1942
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12784
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12594
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9564
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19558
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1880
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3795
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
654
872.7 IPS |
|
|
Text Classification (Q)
|
97% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2404
48.3 IPS |
