Xeon E5-2650 (AI) System manufacturer System Product Name
Geekbench AI Score
29
Single Precision Score
29
Half Precision Score
21
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | Sublime |
| Upload Date | September 25 2025 09:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2650 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P9X79 WS |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17
3.16 IPS |
|
|
Image Classification (HP)
|
100% |
17
3.16 IPS |
|
|
Image Classification (Q)
|
97% |
13
2.49 IPS |
|
|
Image Segmentation (SP)
|
100% |
23
0.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
23
0.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
18
0.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
27
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
27
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
22
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
16
1.30 IPS |
|
|
Object Detection (HP)
|
100% |
16
1.30 IPS |
|
|
Object Detection (Q)
|
87% |
13
1.03 IPS |
|
|
Face Detection (SP)
|
100% |
55
0.66 IPS |
|
|
Face Detection (HP)
|
100% |
55
0.66 IPS |
|
|
Face Detection (Q)
|
97% |
42
0.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
39
0.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
39
0.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
26
0.24 IPS |
|
|
Style Transfer (SP)
|
100% |
83
0.11 IPS |
|
|
Style Transfer (HP)
|
100% |
83
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
66
0.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17
0.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17
0.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14
0.50 IPS |
|
|
Text Classification (SP)
|
100% |
22
29.3 IPS |
|
|
Text Classification (HP)
|
100% |
22
29.3 IPS |
|
|
Text Classification (Q)
|
91% |
16
21.2 IPS |
|
|
Machine Translation (SP)
|
100% |
42
0.72 IPS |
|
|
Machine Translation (HP)
|
100% |
42
0.72 IPS |
|
|
Machine Translation (Q)
|
58% |
21
0.51 IPS |
