MONSTER SEMRUK Z790 GAMING
Geekbench AI Score
5877
Single Precision Score
5932
Half Precision Score
14574
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | January 30 2025 07:28 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MONSTER SEMRUK Z790 GAMING |
| Motherboard | Monster Computer Technology Inc. Monster Semruk Z790 Gaming |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3448
641.1 IPS |
|
|
Image Classification (HP)
|
100% |
3457
642.8 IPS |
|
|
Image Classification (Q)
|
100% |
9211
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5004
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10645
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9066
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9043
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
24316
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3004
238.2 IPS |
|
|
Object Detection (HP)
|
100% |
3050
241.9 IPS |
|
|
Object Detection (Q)
|
88% |
8142
652.7 IPS |
|
|
Face Detection (SP)
|
100% |
10334
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
10493
124.7 IPS |
|
|
Face Detection (Q)
|
100% |
24648
292.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9574
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9959
76.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
28352
220.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26779
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27954
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
97506
125.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17643
653.4 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
6083
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2983
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2995
51.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3047
52.5 IPS |
