Intel X99
Geekbench AI Score
1843
Single Precision Score
823
Half Precision Score
1669
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 09:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2640 v3 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel JGINYUE X99 TITANIUM D4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2640 v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
1136
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (Q)
|
87% |
4724
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
86% |
878
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
819
9.73 IPS |
|
|
Face Detection (Q)
|
96% |
2002
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3576
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1202
9.26 IPS |
|
|
Depth Estimation (Q)
|
77% |
3225
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8631
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6044
7.77 IPS |
|
|
Style Transfer (Q)
|
87% |
8115
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1498
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
410
547.9 IPS |
|
|
Text Classification (Q)
|
97% |
332
444.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1005
22.4 IPS |
