INTEL
Geekbench AI Score
3183
Single Precision Score
976
Half Precision Score
2771
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 05:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL |
| Motherboard | INTEL E5-A99 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v4 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2845
529.0 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
96% |
3024
564.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
1432
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7727
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
9194
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
58% |
2091
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
5323
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
5201
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
9.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
7448
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16122
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10692
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
12329
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2100
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1805
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
388
517.2 IPS |
|
|
Text Classification (Q)
|
97% |
268
358.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1390
26.8 IPS |
