SFF ADV 8GB NVME-SATA G6900 Default string Default string
Geekbench AI Score
1146
Single Precision Score
710
Half Precision Score
2092
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 10 2025 03:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G6900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron G6900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
769
143.0 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
99% |
1747
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1147
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1454
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1230
1.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
5181
6.07 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
1490
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (Q)
|
97% |
3181
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1929
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
989
7.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
4405
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3585
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2888
3.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6895
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2414
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
535
714.1 IPS |
|
|
Text Classification (Q)
|
97% |
420
562.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
65% |
1063
21.4 IPS |
