SchenkerTechnologiesGmbH SCHENKER KEY 17 Pro (M24)
Geekbench AI Score
24787
Single Precision Score
36976
Half Precision Score
18703
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 02:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH SCHENKER KEY 17 Pro (M24) |
| Motherboard | NB01 X370SNx1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9018
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
14333
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
7485
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13773
223.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16719
271.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13135
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
197505
230.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
391596
456.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
167638
196.3 IPS |
|
|
Object Detection (SP)
|
100% |
12318
977.1 IPS |
|
|
Object Detection (HP)
|
100% |
17338
1.38 KIPS |
|
|
Object Detection (Q)
|
89% |
9979
798.9 IPS |
|
|
Face Detection (SP)
|
100% |
29670
352.5 IPS |
|
|
Face Detection (HP)
|
100% |
39448
468.7 IPS |
|
|
Face Detection (Q)
|
97% |
27171
324.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
60688
467.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
119383
922.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
45470
366.3 IPS |
|
|
Style Transfer (SP)
|
100% |
303958
390.7 IPS |
|
|
Style Transfer (HP)
|
100% |
717433
922.3 IPS |
|
|
Style Transfer (Q)
|
98% |
263478
339.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44020
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58677
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32132
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3338
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4146
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3573
61.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1586
35.4 IPS |
