FUJITSU CLIENT COMPUTING LIMITED FMVP77J3H
Geekbench AI Score
1195
Single Precision Score
470
Half Precision Score
2562
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 31 2026 02:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVP77J3H |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB30D |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
913
169.9 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
99% |
2235
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
2924
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1893
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
8230
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
86% |
2539
204.1 IPS |
|
|
Face Detection (SP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (Q)
|
97% |
3377
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2661
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
4743
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5024
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2561
3.29 IPS |
|
|
Style Transfer (Q)
|
98% |
9087
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1734
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
535
714.1 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.2 IPS |
|
|
Text Classification (Q)
|
97% |
443
592.9 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
65% |
799
16.1 IPS |
