INTEL
Geekbench AI Score
13037
Single Precision Score
14225
Half Precision Score
9340
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 12:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon VII |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro Education (64-bit) |
| Model | INTEL |
| Motherboard | INTEL X99-XD3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2666 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5400
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5657
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
4339
806.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8452
137.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8807
142.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7009
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
85292
99.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123883
144.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
71568
83.8 IPS |
|
|
Object Detection (SP)
|
100% |
5924
469.9 IPS |
|
|
Object Detection (HP)
|
100% |
5492
435.6 IPS |
|
|
Object Detection (Q)
|
88% |
4952
397.1 IPS |
|
|
Face Detection (SP)
|
100% |
17148
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
17511
208.1 IPS |
|
|
Face Detection (Q)
|
97% |
13454
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32500
250.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33839
260.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23814
190.7 IPS |
|
|
Style Transfer (SP)
|
100% |
157554
202.5 IPS |
|
|
Style Transfer (HP)
|
100% |
224626
288.8 IPS |
|
|
Style Transfer (Q)
|
98% |
126941
163.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20181
745.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22306
823.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14001
518.5 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
785
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2557
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1049
19.7 IPS |
