EVGA Corp. Z590 DARK
Geekbench AI Score
5487
Single Precision Score
5473
Half Precision Score
8006
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | OC_Alex2305 |
| Upload Date | February 04 2025 11:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z590 DARK |
| Motherboard | EVGA Corp. Z590 DARK |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3501
651.0 IPS |
|
|
Image Classification (HP)
|
100% |
3461
643.6 IPS |
|
|
Image Classification (Q)
|
100% |
5651
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4204
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4146
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5969
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8440
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
17119
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3196
253.5 IPS |
|
|
Object Detection (Q)
|
87% |
5822
467.0 IPS |
|
|
Face Detection (SP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
4886
58.1 IPS |
|
|
Face Detection (Q)
|
97% |
15557
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9370
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9376
72.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
16178
127.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24465
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24525
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49234
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4868
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9315
345.0 IPS |
|
|
Text Classification (SP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3092
4.13 KIPS |
|
|
Text Classification (Q)
|
91% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3716
64.0 IPS |
