SFF ADV 8GB NVME-SATA G6900 Default string Default string
Geekbench AI Score
787
Single Precision Score
823
Half Precision Score
538
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 10 2025 03:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 710 |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
100% |
280
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1589
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
314
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
97% |
555
6.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1018
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
4520
5.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6158
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3440
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
436
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.5 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.1 IPS |
|
|
Text Classification (Q)
|
97% |
216
288.7 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
70% |
234
4.38 IPS |
