EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
8619
Single Precision Score
8615
Half Precision Score
18117
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | January 08 2025 11:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5202
967.3 IPS |
|
|
Image Classification (HP)
|
100% |
5190
965.3 IPS |
|
|
Image Classification (Q)
|
100% |
10657
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6596
106.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6592
106.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11608
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10541
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10535
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
38508
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
5097
404.3 IPS |
|
|
Object Detection (HP)
|
100% |
5097
404.3 IPS |
|
|
Object Detection (Q)
|
88% |
11319
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
16382
194.7 IPS |
|
|
Face Detection (HP)
|
100% |
16352
194.3 IPS |
|
|
Face Detection (Q)
|
100% |
28548
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13508
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13498
104.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
32038
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31396
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31387
40.3 IPS |
|
|
Style Transfer (Q)
|
98% |
103363
133.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6451
238.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6454
238.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18985
703.1 IPS |
|
|
Text Classification (SP)
|
100% |
4646
6.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4643
6.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6652
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5896
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5909
101.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5920
102.0 IPS |
