W880M WS-1L
Geekbench AI Score
3432
Single Precision Score
3432
Half Precision Score
2569
Quantized Score
Geekbench AI 1.4.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | October 18 2025 07:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | W880M WS-1L |
| Motherboard | ASRockRack W880M WS-1L |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2859
531.6 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.7 IPS |
|
|
Image Classification (Q)
|
99% |
1932
360.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3959
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3945
64.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1808
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4246
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
6374
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
2976
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (Q)
|
85% |
2185
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
3964
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4035
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4003
30.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3176
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4861
6.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4848
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9648
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2707
100.3 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
964
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (Q)
|
58% |
813
19.1 IPS |
