INTEL X99E
Geekbench AI Score
3149
Single Precision Score
1020
Half Precision Score
2976
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Toptaap123 |
| Upload Date | February 15 2025 06:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | INTEL X99E |
| Motherboard | INTEL X99E |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2690
500.3 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
96% |
2844
531.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5194
6.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
7524
8.89 IPS |
|
|
Object Detection (SP)
|
100% |
2508
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
58% |
2117
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
5000
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
5101
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
9.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
6653
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15070
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11654
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10749
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2168
80.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1760
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
416
555.1 IPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1618
31.3 IPS |
