Intel X99
Geekbench AI Score
4671
Single Precision Score
4574
Half Precision Score
4265
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:54 PM |
| Views | 5 |
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 11 Pro for Workstations (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3234
601.5 IPS |
|
|
Image Classification (HP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (Q)
|
100% |
3029
563.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4099
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4086
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4168
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
8396
9.85 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (Q)
|
87% |
3128
250.9 IPS |
|
|
Face Detection (SP)
|
100% |
5970
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
5867
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
9788
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7416
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7318
56.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8817
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20378
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20666
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24565
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4712
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2061
2.75 KIPS |
|
|
Text Classification (Q)
|
91% |
286
384.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2821
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2103
36.2 IPS |
