INTEL X99
Geekbench AI Score
4240
Single Precision Score
4236
Half Precision Score
4078
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Dulaso1 |
| Upload Date | August 21 2025 10:26 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% |
2873
534.4 IPS |
|
|
Image Classification (HP)
|
100% |
2876
534.8 IPS |
|
|
Image Classification (Q)
|
100% |
2907
540.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3693
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4105
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5802
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
8420
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (Q)
|
87% |
3029
242.9 IPS |
|
|
Face Detection (SP)
|
100% |
5909
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
5903
70.1 IPS |
|
|
Face Detection (Q)
|
97% |
9601
114.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6505
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6567
50.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
8760
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20416
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20702
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24446
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4093
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4636
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
211
283.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2080
35.8 IPS |
