INTEL X99
Geekbench AI Score
14547
Single Precision Score
19635
Half Precision Score
10258
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v4 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5363
997.3 IPS |
|
|
Image Classification (HP)
|
99% |
6677
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
4125
767.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7179
116.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8422
136.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6276
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
120069
140.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
290756
339.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
95893
112.4 IPS |
|
|
Object Detection (SP)
|
100% |
7039
558.3 IPS |
|
|
Object Detection (HP)
|
100% |
8532
676.8 IPS |
|
|
Object Detection (Q)
|
85% |
5529
444.7 IPS |
|
|
Face Detection (SP)
|
100% |
17312
205.7 IPS |
|
|
Face Detection (HP)
|
100% |
20352
241.8 IPS |
|
|
Face Detection (Q)
|
97% |
13547
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
48242
371.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76815
591.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
30539
244.7 IPS |
|
|
Style Transfer (SP)
|
100% |
213978
275.1 IPS |
|
|
Style Transfer (HP)
|
100% |
424749
546.0 IPS |
|
|
Style Transfer (Q)
|
98% |
160801
207.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24065
888.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27882
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15609
578.0 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
99% |
1765
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1024
19.2 IPS |
