IBM System x3650 M3 -[7945K3G]-
Geekbench ML Score
12
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux x86 (64-bit)
Result Information
| Upload Date | July 27 2025 05:12 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | IBM System x3650 M3 -[7945K3G]- |
| Motherboard | IBM 90Y4784 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5620 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 66.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7
1.38 IPS |
|
|
Image Classification (F16)
|
100% |
8
1.49 IPS |
|
|
Image Classification (I8)
|
97% |
7
1.27 IPS |
|
|
Image Segmentation (F32)
|
100% |
10
0.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
11
0.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
9
0.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
11
0.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
12
0.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
10
0.01 IPS |
|
|
Object Detection (F32)
|
100% |
7
0.55 IPS |
|
|
Object Detection (F16)
|
100% |
8
0.58 IPS |
|
|
Object Detection (I8)
|
68% |
7
0.50 IPS |
|
|
Face Detection (F32)
|
100% |
23
0.28 IPS |
|
|
Face Detection (F16)
|
100% |
26
0.30 IPS |
|
|
Face Detection (I8)
|
87% |
21
0.25 IPS |
|
|
Depth Estimation (F32)
|
100% |
18
0.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
18
0.14 IPS |
|
|
Depth Estimation (I8)
|
95% |
13
0.10 IPS |
|
|
Style Transfer (F32)
|
100% |
38
0.05 IPS |
|
|
Style Transfer (F16)
|
100% |
38
0.05 IPS |
|
|
Style Transfer (I8)
|
98% |
33
0.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8
0.28 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8
0.27 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
6
0.23 IPS |
|
|
Text Classification (F32)
|
100% |
8
12.1 IPS |
|
|
Text Classification (F16)
|
100% |
8
12.0 IPS |
|
|
Text Classification (I8)
|
92% |
7
9.65 IPS |
|
|
Machine Translation (F32)
|
100% |
17
0.32 IPS |
|
|
Machine Translation (F16)
|
100% |
15
0.28 IPS |
|
|
Machine Translation (I8)
|
62% |
11
0.21 IPS |
