Genuine Genuine ZEUS 15H (GNB15H-9G50)
Geekbench AI Score
1460
Single Precision Score
456
Half Precision Score
1648
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:07 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Genuine Genuine ZEUS 15H (GNB15H-9G50) |
| Motherboard | Genuine Genuine ZEUS 15H (GNB15H-9G50) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
97% |
1322
246.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
1344
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2999
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (Q)
|
87% |
5422
6.40 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
86% |
1012
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
174
2.07 IPS |
|
|
Face Detection (Q)
|
96% |
1959
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3212
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.72 IPS |
|
|
Depth Estimation (Q)
|
76% |
3202
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6516
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5625
7.23 IPS |
|
|
Style Transfer (Q)
|
87% |
6822
8.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1833
67.9 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
404
539.1 IPS |
|
|
Text Classification (Q)
|
97% |
335
448.3 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
60% |
580
12.9 IPS |
