Dell Inc. XPS 9320
Geekbench AI Score
2382
Single Precision Score
2298
Half Precision Score
6743
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 11:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | Dell Inc. XPS 9320 |
| Motherboard | Dell Inc. 0CW9KM |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (Q)
|
100% |
4307
801.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4274
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3127
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
11963
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1323
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (Q)
|
88% |
4460
357.6 IPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
9625
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3326
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3280
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10896
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8357
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8318
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33731
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6984
258.6 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3778
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2120
36.5 IPS |
