Intel X99
Geekbench AI Score
1546
Single Precision Score
1546
Half Precision Score
922
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | yotsuya |
| Upload Date | August 13 2025 03:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2695 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Intel X99 |
| Motherboard | Intel X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2695 v4 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.4 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (Q)
|
99% |
670
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
635
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2516
2.95 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (Q)
|
85% |
794
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1424
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1668
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1272
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1946
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1946
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3752
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
912
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
298
399.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (Q)
|
58% |
284
6.66 IPS |
