Intel X99
Geekbench AI Score
2581
Single Precision Score
548
Half Precision Score
3016
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | yotsuya |
| Upload Date | August 13 2025 03:47 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1109
206.2 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
94% |
2948
550.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7091
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4303
5.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
8293
9.80 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
58% |
2248
245.6 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
235
2.80 IPS |
|
|
Face Detection (Q)
|
96% |
7421
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6721
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
635
4.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
7108
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13118
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10960
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10233
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1871
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
307
410.0 IPS |
|
|
Text Classification (Q)
|
97% |
727
973.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1571
30.4 IPS |
