Dell Inc. Precision 7670
Geekbench AI Score
5166
Single Precision Score
5254
Half Precision Score
12547
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Angus72 |
| Upload Date | August 18 2024 05:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12950HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7670 |
| Motherboard | Dell Inc. 091YVN |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12950HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3666
681.8 IPS |
|
|
Image Classification (HP)
|
100% |
3640
676.9 IPS |
|
|
Image Classification (Q)
|
100% |
7651
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3900
63.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6958
112.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6782
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6773
7.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
24153
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3334
264.5 IPS |
|
|
Object Detection (HP)
|
100% |
3395
269.3 IPS |
|
|
Object Detection (Q)
|
88% |
8172
655.1 IPS |
|
|
Face Detection (SP)
|
100% |
9788
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
9735
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
20362
241.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8628
66.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
8943
68.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
22518
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19596
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19990
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69696
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4276
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4363
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13780
510.3 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4038
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4421
76.1 IPS |
|
|
Machine Translation (Q)
|
85% |
5179
90.6 IPS |
