IBM IBM System x3650 M4: -[7915AC1]-
Geekbench AI Score
111
Single Precision Score
111
Half Precision Score
77
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 06 2024 02:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2690 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 E5-2690 v2 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 377.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
64
11.9 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.0 IPS |
|
|
Image Classification (Q)
|
97% |
49
9.12 IPS |
|
|
Image Segmentation (SP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
64
1.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
110
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
88
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.07 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.09 IPS |
|
|
Object Detection (Q)
|
87% |
48
3.86 IPS |
|
|
Face Detection (SP)
|
100% |
209
2.48 IPS |
|
|
Face Detection (HP)
|
100% |
210
2.49 IPS |
|
|
Face Detection (Q)
|
97% |
146
1.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
151
1.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
154
1.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
98
0.90 IPS |
|
|
Style Transfer (SP)
|
100% |
320
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
319
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
259
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70
2.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
70
2.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52
1.94 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.8 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.3 IPS |
|
|
Text Classification (Q)
|
91% |
46
62.5 IPS |
|
|
Machine Translation (SP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.44 IPS |
|
|
Machine Translation (Q)
|
58% |
63
1.50 IPS |
