EVGA Corp. Z790 CLASSIFIED
Geekbench AI Score
5798
Single Precision Score
1757
Half Precision Score
8996
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | LarryHope |
| Upload Date | February 04 2025 08:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z790 CLASSIFIED |
| Motherboard | EVGA Corp. Z790 CLASSIFIED |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4663
867.2 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
7250
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4348
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11226
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
35592
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.8 IPS |
|
|
Object Detection (HP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (Q)
|
86% |
7936
637.8 IPS |
|
|
Face Detection (SP)
|
100% |
12421
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
12126
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13181
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20513
163.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25616
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12521
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35075
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5922
219.3 IPS |
|
|
Text Classification (SP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1919
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3935
79.1 IPS |
