| User | kazukied2 |
| Upload Date | January 05 2026 07:34 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2140B CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Apple Inc. iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2140B |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3287
611.3 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
100% |
5077
944.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4357
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6255
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9456
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9453
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
14756
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
3407
270.3 IPS |
|
|
Object Detection (HP)
|
100% |
3431
272.1 IPS |
|
|
Object Detection (Q)
|
87% |
5161
413.9 IPS |
|
|
Face Detection (SP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
7075
84.1 IPS |
|
|
Face Detection (Q)
|
97% |
14559
173.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10210
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10166
78.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
13233
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24787
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24327
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37510
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7604
281.7 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
91% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3433
59.1 IPS |