MACHINIST X99 MD8
Geekbench AI Score
161
Single Precision Score
155
Half Precision Score
115
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | October 24 2025 01:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | MACHINIST X99 MD8 |
| Motherboard | MACHINIST X99 MD8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (Q)
|
97% |
62
11.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
102
1.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
184
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
153
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.15 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.18 IPS |
|
|
Object Detection (Q)
|
87% |
68
5.48 IPS |
|
|
Face Detection (SP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (Q)
|
97% |
222
2.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
224
1.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
165
1.52 IPS |
|
|
Style Transfer (SP)
|
100% |
525
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
512
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
462
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
109
4.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
87
3.22 IPS |
|
|
Text Classification (SP)
|
100% |
68
91.2 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.2 IPS |
|
|
Text Classification (Q)
|
91% |
55
74.0 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
58% |
82
1.95 IPS |
