Gigabyte Technology Co., Ltd. Z490M GAMING X
Geekbench AI Score
19705
Single Precision Score
28852
Half Precision Score
12645
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | February 06 2025 01:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z490M GAMING X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7742
1.44 KIPS |
|
|
Image Classification (HP)
|
99% |
11358
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
5388
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10971
177.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13911
225.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8753
142.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
129032
150.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
336817
393.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
100772
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
9977
791.3 IPS |
|
|
Object Detection (HP)
|
100% |
13145
1.04 KIPS |
|
|
Object Detection (Q)
|
85% |
7062
568.1 IPS |
|
|
Face Detection (SP)
|
100% |
24778
294.4 IPS |
|
|
Face Detection (HP)
|
100% |
32279
383.5 IPS |
|
|
Face Detection (Q)
|
97% |
18126
216.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
55002
423.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93094
717.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
34484
276.3 IPS |
|
|
Style Transfer (SP)
|
100% |
233870
300.6 IPS |
|
|
Style Transfer (HP)
|
100% |
508746
654.0 IPS |
|
|
Style Transfer (Q)
|
98% |
171732
221.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31256
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38020
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18897
699.7 IPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3379
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1310
24.6 IPS |
