GIGABYTE G6X9MG
Geekbench AI Score
14164
Single Precision Score
24633
Half Precision Score
11407
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MaigerTiger284 |
| Upload Date | December 20 2024 02:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GIGABYTE G6X9MG |
| Motherboard | GIGABYTE G6X9MG |
| Power Plan | Balanced |
| 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% |
5443
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
10309
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
5266
982.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9435
152.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12510
202.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8688
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66638
77.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
213015
248.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
58714
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
6969
552.8 IPS |
|
|
Object Detection (HP)
|
100% |
12461
988.4 IPS |
|
|
Object Detection (Q)
|
84% |
6318
509.6 IPS |
|
|
Face Detection (SP)
|
100% |
16482
195.8 IPS |
|
|
Face Detection (HP)
|
100% |
27282
324.2 IPS |
|
|
Face Detection (Q)
|
97% |
14685
175.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31792
244.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68085
524.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27113
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
118341
152.1 IPS |
|
|
Style Transfer (HP)
|
100% |
292083
375.5 IPS |
|
|
Style Transfer (Q)
|
98% |
107027
138.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23527
868.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39578
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17318
641.3 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3420
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1802
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1654
31.0 IPS |
