Intel(R) Client Systems NUC9i7QNX
Geekbench AI Score
12671
Single Precision Score
19989
Half Precision Score
9292
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 05 2025 11:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC9i7QNX |
| Motherboard | Intel Corporation NUC9i7QNB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4499
836.7 IPS |
|
|
Image Classification (HP)
|
99% |
7789
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
3547
659.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7494
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9603
155.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6412
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
86519
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
219398
256.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
69800
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
5922
469.8 IPS |
|
|
Object Detection (HP)
|
100% |
9133
724.4 IPS |
|
|
Object Detection (Q)
|
85% |
5368
432.2 IPS |
|
|
Face Detection (SP)
|
100% |
13393
159.1 IPS |
|
|
Face Detection (HP)
|
100% |
18450
219.2 IPS |
|
|
Face Detection (Q)
|
97% |
12551
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33905
261.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
63125
486.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24629
197.2 IPS |
|
|
Style Transfer (SP)
|
100% |
138255
177.7 IPS |
|
|
Style Transfer (HP)
|
100% |
304053
390.9 IPS |
|
|
Style Transfer (Q)
|
98% |
114327
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23702
875.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32303
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14907
552.0 IPS |
|
|
Text Classification (SP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
2920
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1018
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1050
19.7 IPS |
