INTEL X99
Geekbench AI Score
4174
Single Precision Score
4085
Half Precision Score
3970
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Dulaso1 |
| Upload Date | August 21 2025 09:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2824
525.1 IPS |
|
|
Image Classification (HP)
|
100% |
2826
525.6 IPS |
|
|
Image Classification (Q)
|
100% |
2868
533.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3654
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4082
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5647
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5683
6.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
8364
9.81 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (Q)
|
87% |
3018
242.0 IPS |
|
|
Face Detection (SP)
|
100% |
5883
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
5805
69.0 IPS |
|
|
Face Detection (Q)
|
97% |
9505
113.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6446
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6370
49.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
8699
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20222
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20242
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24438
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4607
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
203
272.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1743
30.0 IPS |
