SFF ADV 8GB NVME-SATA G6900 Default string Default string
Geekbench AI Score
1147
Single Precision Score
715
Half Precision Score
2176
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 10 2025 04:01 AM |
| Views | 7 |
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% |
777
144.5 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
99% |
1739
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1136
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1453
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1226
1.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
5190
6.09 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
86% |
1520
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
3166
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1949
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1004
7.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4459
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3605
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2869
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
7014
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2415
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.2 IPS |
|
|
Text Classification (Q)
|
97% |
437
585.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1467
29.5 IPS |
