UNIT.COM INC. NP60SNx
Geekbench AI Score
384
Single Precision Score
510
Half Precision Score
774
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:09 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | UNIT.COM INC. NP60SNx |
| Motherboard | UNIT.COM INC. NP60SNx |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (Q)
|
100% |
423
78.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
99% |
381
6.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1928
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (Q)
|
88% |
435
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
615
7.30 IPS |
|
|
Face Detection (HP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (Q)
|
100% |
964
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
969
7.47 IPS |
|
|
Depth Estimation (Q)
|
89% |
1551
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
999
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
951
1.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3004
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.33 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.3 IPS |
|
|
Text Classification (Q)
|
92% |
461
620.0 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
100% |
425
7.33 IPS |
