INTEL DZ77GA
Geekbench AI Score
583
Single Precision Score
354
Half Precision Score
585
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 07 2025 05:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | INTEL DZ77GA |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (Q)
|
96% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
339
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
716
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
850
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (Q)
|
58% |
327
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
96% |
1027
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1246
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
1052
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2275
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1988
2.56 IPS |
|
|
Style Transfer (Q)
|
87% |
1910
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.9 IPS |
|
|
Text Classification (HP)
|
100% |
234
311.8 IPS |
|
|
Text Classification (Q)
|
97% |
205
275.1 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
68% |
575
11.1 IPS |
