Gigabyte Technology Co., Ltd. Z590 GAMING X
Geekbench AI Score
18574
Single Precision Score
30949
Half Precision Score
12003
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ghazinakhli |
| Upload Date | February 12 2026 01:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 GAMING X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7296
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
11657
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
5238
974.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
12677
205.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19832
321.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9858
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
101541
118.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
298923
348.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
81487
95.5 IPS |
|
|
Object Detection (SP)
|
100% |
9766
774.7 IPS |
|
|
Object Detection (HP)
|
100% |
15762
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
7153
575.8 IPS |
|
|
Face Detection (SP)
|
100% |
22158
263.3 IPS |
|
|
Face Detection (HP)
|
100% |
35300
419.4 IPS |
|
|
Face Detection (Q)
|
97% |
16692
199.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
46338
357.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88085
678.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29421
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
169821
218.3 IPS |
|
|
Style Transfer (HP)
|
100% |
438601
563.8 IPS |
|
|
Style Transfer (Q)
|
98% |
130418
168.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30879
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43144
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17313
641.1 IPS |
|
|
Text Classification (SP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1322
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1408
26.4 IPS |
