INTEL
Geekbench AI Score
1379
Single Precision Score
260
Half Precision Score
1899
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | dolpa_me |
| Upload Date | September 07 2025 05:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
617
114.8 IPS |
|
|
Image Classification (HP)
|
100% |
42
7.86 IPS |
|
|
Image Classification (Q)
|
93% |
1425
266.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
84
1.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
797
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6238
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
8277
9.78 IPS |
|
|
Object Detection (SP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (HP)
|
100% |
67
5.33 IPS |
|
|
Object Detection (Q)
|
58% |
1469
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
119
1.42 IPS |
|
|
Face Detection (Q)
|
96% |
4348
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3963
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
290
2.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
5024
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11858
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5750
7.39 IPS |
|
|
Style Transfer (Q)
|
87% |
7290
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
402
537.1 IPS |
|
|
Text Classification (HP)
|
100% |
142
188.9 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.0 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
68% |
781
15.1 IPS |
