X99 E5-1650 v4 3490 MHz Gigabyte Technology Co., Ltd. Default string
Geekbench AI Score
2868
Single Precision Score
2872
Half Precision Score
3024
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 22 2026 06:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-1650 v4 @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Default string |
| Motherboard | Gigabyte Technology Co., Ltd. X99-UD5 WIFI-CF |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v4 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1660
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
1630
303.1 IPS |
|
|
Image Classification (Q)
|
100% |
1878
349.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3594
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3544
4.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
4627
5.43 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.6 IPS |
|
|
Object Detection (HP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (Q)
|
87% |
2016
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
4128
49.0 IPS |
|
|
Face Detection (Q)
|
97% |
5756
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4247
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4263
32.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5256
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11403
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11417
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13340
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2314
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2739
101.5 IPS |
|
|
Text Classification (SP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (Q)
|
91% |
600
806.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2262
39.0 IPS |
