Intel X99
Geekbench AI Score
3228
Single Precision Score
3103
Half Precision Score
3361
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | May 11 2025 06:58 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2670 v3 @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99H |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (Q)
|
100% |
2167
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3025
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4747
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4595
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
6486
7.61 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (Q)
|
87% |
2403
192.8 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
7437
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5127
39.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6714
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15009
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13695
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19238
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2585
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3678
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (Q)
|
91% |
254
342.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2012
34.7 IPS |
