System manufacturer System Product Name
Geekbench AI Score
1265
Single Precision Score
648
Half Precision Score
1594
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Neredera |
| Upload Date | February 20 2025 11:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
96% |
1469
274.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
3432
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
58% |
947
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
674
8.00 IPS |
|
|
Face Detection (Q)
|
96% |
2862
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2408
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
908
6.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
3490
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4772
6.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3666
4.71 IPS |
|
|
Style Transfer (Q)
|
87% |
6654
8.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
420
560.6 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1114
21.5 IPS |
