INTEL
Geekbench AI Score
159
Single Precision Score
159
Half Precision Score
111
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | dolpa_me |
| Upload Date | September 04 2025 07:42 PM |
| Views | 18 |
| Notes | NVIDIA GeForce GTX 960 |
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% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.3 IPS |
|
|
Image Classification (Q)
|
97% |
75
14.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
95
1.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
142
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.73 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.81 IPS |
|
|
Object Detection (Q)
|
87% |
73
5.90 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
223
2.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
233
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
228
1.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
148
1.36 IPS |
|
|
Style Transfer (SP)
|
100% |
471
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
469
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
413
0.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
109
4.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
80
2.95 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.6 IPS |
|
|
Text Classification (HP)
|
100% |
77
103.3 IPS |
|
|
Text Classification (Q)
|
91% |
55
73.7 IPS |
|
|
Machine Translation (SP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (HP)
|
100% |
174
3.00 IPS |
|
|
Machine Translation (Q)
|
58% |
70
1.66 IPS |
