IBM IBM System x3650 M4: -[7915AC1]-
Geekbench AI Score
101
Single Precision Score
100
Half Precision Score
72
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 15 2024 04:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v2 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | IBM IBM System x3650 M4: -[7915AC1]- |
| Motherboard | IBM 00Y8473 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 2 Processors, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.2 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (Q)
|
97% |
48
8.88 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
83
1.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
61
1.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
79
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
59
4.67 IPS |
|
|
Object Detection (HP)
|
100% |
59
4.67 IPS |
|
|
Object Detection (Q)
|
87% |
46
3.68 IPS |
|
|
Face Detection (SP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
97% |
142
1.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
139
1.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
139
1.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
91
0.84 IPS |
|
|
Style Transfer (SP)
|
100% |
286
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
286
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
235
0.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63
2.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
48
1.79 IPS |
|
|
Text Classification (SP)
|
100% |
73
97.3 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.8 IPS |
|
|
Text Classification (Q)
|
91% |
49
65.3 IPS |
|
|
Machine Translation (SP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.87 IPS |
|
|
Machine Translation (Q)
|
58% |
52
1.24 IPS |
