SZMZ X99 DUAL Z8
Geekbench AI Score
4311
Single Precision Score
4358
Half Precision Score
4043
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Leonarrus |
| Upload Date | January 25 2025 07:14 PM |
| Views | 5 |
| Notes | Work only first processor ((( Hyper-Threading didn't work ((( |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2690 v3 @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | SZMZ X99 DUAL Z8 |
| Motherboard | SZMZ X99 DUAL Z8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2868
533.3 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
100% |
2689
500.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3445
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5710
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5897
6.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
7755
9.10 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (Q)
|
87% |
2892
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
6552
77.9 IPS |
|
|
Face Detection (Q)
|
97% |
7666
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7235
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7130
54.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
8196
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17752
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18277
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22470
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4457
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (Q)
|
91% |
354
476.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2471
42.6 IPS |
