CPU-800W INTEL X99
Geekbench AI Score
2922
Single Precision Score
929
Half Precision Score
2806
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MiroYar |
| Upload Date | May 21 2025 05:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
96% |
2835
529.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
1446
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4883
5.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
12754
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2029
160.9 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
58% |
2377
259.7 IPS |
|
|
Face Detection (SP)
|
100% |
4445
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
5370
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8171
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
7724
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19232
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11240
14.4 IPS |
|
|
Style Transfer (Q)
|
87% |
9027
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1686
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
351
468.9 IPS |
|
|
Text Classification (Q)
|
97% |
271
362.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1428
27.6 IPS |
