GIGABYTE AORUS 16X 9SG
Geekbench AI Score
15540
Single Precision Score
24775
Half Precision Score
12885
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 02:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GIGABYTE AORUS 16X 9SG |
| Motherboard | GIGABYTE AORUS 16X 9SG |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7635
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
11043
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7250
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13690
221.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12888
208.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9214
149.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
111644
130.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
280465
327.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
91449
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
6889
546.4 IPS |
|
|
Object Detection (HP)
|
100% |
11575
918.1 IPS |
|
|
Object Detection (Q)
|
85% |
6129
493.4 IPS |
|
|
Face Detection (SP)
|
100% |
17459
207.4 IPS |
|
|
Face Detection (HP)
|
100% |
26765
318.0 IPS |
|
|
Face Detection (Q)
|
97% |
16809
200.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46516
358.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77488
597.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
37645
300.9 IPS |
|
|
Style Transfer (SP)
|
100% |
165449
212.7 IPS |
|
|
Style Transfer (HP)
|
100% |
369290
474.7 IPS |
|
|
Style Transfer (Q)
|
98% |
133631
172.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13207
487.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41160
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21367
791.2 IPS |
|
|
Text Classification (SP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2516
43.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1509
28.3 IPS |
