FUJITSU CELSIUS M720
Geekbench AI Score
352
Single Precision Score
352
Half Precision Score
1729
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 14 2024 07:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2690 0 @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CELSIUS M720 |
| Motherboard | FUJITSU D3128-A1 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.5 IPS |
|
|
Image Classification (Q)
|
100% |
1166
216.9 IPS |
|
|
Image Segmentation (SP)
|
29% |
80
16.7 IPS |
|
|
Image Segmentation (HP)
|
29% |
80
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1215
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1355
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1349
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
2872
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
87% |
1157
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
2263
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2266
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
3331
39.7 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
18.4 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
18.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3279
25.9 IPS |
|
|
Style Transfer (SP)
|
31% |
373
5.07 IPS |
|
|
Style Transfer (HP)
|
31% |
372
5.05 IPS |
|
|
Style Transfer (Q)
|
98% |
8558
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1651
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
91% |
407
546.5 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
100% |
808
13.9 IPS |
