Gigabyte Technology Co., Ltd. Z590 GAMING X
Geekbench AI Score
5162
Single Precision Score
5177
Half Precision Score
14284
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ghazinakhli |
| Upload Date | February 12 2026 04:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900F @ 2.50GHz |
| 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% |
3432
638.2 IPS |
|
|
Image Classification (HP)
|
100% |
3437
639.2 IPS |
|
|
Image Classification (Q)
|
100% |
10003
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3618
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8984
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7406
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
7403
8.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
28966
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3010
238.8 IPS |
|
|
Object Detection (HP)
|
100% |
3006
238.4 IPS |
|
|
Object Detection (Q)
|
88% |
10267
823.0 IPS |
|
|
Face Detection (SP)
|
100% |
5112
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
5119
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
23654
281.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9029
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8974
69.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24863
193.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18936
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18487
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
76170
98.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14714
544.9 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
4695
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4277
73.7 IPS |
