EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5445
Single Precision Score
1882
Half Precision Score
6629
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 07 2024 07:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z690 DARK KINGPIN |
| Motherboard | EVGA Corp. Z690 DARK KINGPIN |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
5030
938.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4356
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13325
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
43036
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
3381
268.2 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
88% |
2945
236.1 IPS |
|
|
Face Detection (SP)
|
100% |
6293
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
6885
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12626
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2397
18.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13589
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29510
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13163
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37670
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4944
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6891
255.1 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3249
72.5 IPS |
