GIGABYTE AERO 15-X9
Geekbench AI Score
9583
Single Precision Score
15796
Half Precision Score
6805
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SyameimaruKoa |
| Upload Date | October 19 2024 05:52 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE AERO 15-X9 |
| Motherboard | GIGABYTE AERO 15-X9 |
| Power Plan | Smartmanager Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3878
721.2 IPS |
|
|
Image Classification (HP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
2969
552.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6771
109.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8759
142.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5686
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
48612
56.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
144302
168.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
41998
49.2 IPS |
|
|
Object Detection (SP)
|
100% |
4807
381.3 IPS |
|
|
Object Detection (HP)
|
100% |
7767
616.1 IPS |
|
|
Object Detection (Q)
|
89% |
3594
287.7 IPS |
|
|
Face Detection (SP)
|
100% |
10763
127.9 IPS |
|
|
Face Detection (HP)
|
100% |
16484
195.9 IPS |
|
|
Face Detection (Q)
|
97% |
8654
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24207
186.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45626
351.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
17468
140.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80164
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
196788
253.0 IPS |
|
|
Style Transfer (Q)
|
98% |
70148
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17092
631.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25054
925.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10745
397.9 IPS |
|
|
Text Classification (SP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (HP)
|
99% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
97% |
854
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (Q)
|
60% |
859
19.2 IPS |
