JWPC DS-V P15SWN
Geekbench AI Score
14206
Single Precision Score
22657
Half Precision Score
23595
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | JWPC DS-V P15SWN |
| Motherboard | JWIPC P15SWN |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-2455X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5683
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8207
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
8317
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18135
294.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25958
420.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27896
452.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
77087
89.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
207107
241.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
320905
375.7 IPS |
|
|
Object Detection (SP)
|
100% |
5513
437.3 IPS |
|
|
Object Detection (HP)
|
100% |
10929
866.9 IPS |
|
|
Object Detection (Q)
|
88% |
10911
874.4 IPS |
|
|
Face Detection (SP)
|
100% |
25733
305.8 IPS |
|
|
Face Detection (HP)
|
100% |
34943
415.2 IPS |
|
|
Face Detection (Q)
|
100% |
36431
432.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25603
197.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57497
443.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
56428
438.6 IPS |
|
|
Style Transfer (SP)
|
100% |
198178
254.8 IPS |
|
|
Style Transfer (HP)
|
100% |
307622
395.5 IPS |
|
|
Style Transfer (Q)
|
98% |
381279
491.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18090
668.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25711
949.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26139
968.0 IPS |
|
|
Text Classification (SP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3124
53.8 IPS |
