INTEL X99
Geekbench AI Score
1845
Single Precision Score
1793
Half Precision Score
1370
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Dulaso1 |
| Upload Date | August 21 2025 09:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
99% |
606
112.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5906
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
5210
6.10 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (Q)
|
83% |
733
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1232
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3196
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3094
23.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2583
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9395
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9269
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8159
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2780
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2588
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1943
71.9 IPS |
|
|
Text Classification (SP)
|
100% |
671
896.0 IPS |
|
|
Text Classification (HP)
|
100% |
686
915.1 IPS |
|
|
Text Classification (Q)
|
97% |
409
548.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1439
24.9 IPS |
|
|
Machine Translation (Q)
|
70% |
620
11.6 IPS |
