INTEL
Geekbench AI Score
75
Single Precision Score
74
Half Precision Score
49
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | dolpa_me |
| Upload Date | September 07 2025 05:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | INTEL |
| Motherboard | INTEL X99-2D4 |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 121.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
40
7.35 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.36 IPS |
|
|
Image Classification (Q)
|
97% |
29
5.43 IPS |
|
|
Image Segmentation (SP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
43
0.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
84
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
84
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
68
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (HP)
|
100% |
41
3.29 IPS |
|
|
Object Detection (Q)
|
87% |
29
2.36 IPS |
|
|
Face Detection (SP)
|
100% |
142
1.69 IPS |
|
|
Face Detection (HP)
|
100% |
142
1.69 IPS |
|
|
Face Detection (Q)
|
97% |
99
1.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
109
0.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
108
0.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
67
0.61 IPS |
|
|
Style Transfer (SP)
|
100% |
238
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
240
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
199
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50
1.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36
1.35 IPS |
|
|
Text Classification (SP)
|
100% |
44
59.3 IPS |
|
|
Text Classification (HP)
|
100% |
41
54.3 IPS |
|
|
Text Classification (Q)
|
91% |
21
27.9 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (Q)
|
58% |
34
0.81 IPS |
