Gigabyte Technology Co., Ltd. Z490M GAMING X
Geekbench AI Score
19320
Single Precision Score
28385
Half Precision Score
12241
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | February 06 2025 01:00 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% |
6810
1.27 KIPS |
|
|
Image Classification (HP)
|
99% |
11108
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
5121
952.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10761
174.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13910
225.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8792
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
130164
151.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
333629
389.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
101401
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
9803
777.5 IPS |
|
|
Object Detection (HP)
|
100% |
12958
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
7070
568.7 IPS |
|
|
Face Detection (SP)
|
100% |
24842
295.2 IPS |
|
|
Face Detection (HP)
|
100% |
32399
385.0 IPS |
|
|
Face Detection (Q)
|
97% |
15891
189.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55476
427.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87540
674.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34269
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
234939
302.0 IPS |
|
|
Style Transfer (HP)
|
100% |
507833
652.8 IPS |
|
|
Style Transfer (Q)
|
98% |
171711
221.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30585
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38118
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17835
660.4 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3203
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1098
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1279
24.0 IPS |
