FUJITSU CLIENT COMPUTING LIMITED FMVC75G3G
Geekbench AI Score
1982
Single Precision Score
2031
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | January 31 2025 03:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVC75G3G |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNBB7C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
869
161.5 IPS |
|
|
Image Classification (HP)
|
100% |
873
162.3 IPS |
|
|
Image Classification (Q)
|
100% |
773
143.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5338
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6960
8.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3601
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (HP)
|
98% |
878
69.9 IPS |
|
|
Object Detection (Q)
|
86% |
805
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
1463
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3895
30.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4442
34.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2840
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15409
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19533
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10632
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2907
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1140
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.8 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.4 IPS |
|
|
Text Classification (Q)
|
97% |
363
486.4 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
70% |
396
7.43 IPS |
