SFF ADV 8GB NVME-SATA G6900 Default string Default string
Geekbench AI Score
788
Single Precision Score
832
Half Precision Score
541
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 10 2025 04:18 AM |
| Views | 7 |
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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.5 IPS |
|
|
Image Classification (Q)
|
100% |
295
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
346
5.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1592
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.9 IPS |
|
|
Object Detection (HP)
|
98% |
322
25.6 IPS |
|
|
Object Detection (Q)
|
86% |
317
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.32 IPS |
|
|
Face Detection (Q)
|
97% |
556
6.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1348
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1528
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1018
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
4504
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6161
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3432
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
435
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.3 IPS |
|
|
Text Classification (HP)
|
100% |
313
418.4 IPS |
|
|
Text Classification (Q)
|
97% |
211
283.2 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
70% |
237
4.44 IPS |
