System manufacturer System Product Name
Geekbench AI Score
1183
Single Precision Score
370
Half Precision Score
1347
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | oguogu |
| Upload Date | August 23 2024 03:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. H170M-PLUS |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.3 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
97% |
1131
211.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
804
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1582
1.85 IPS |
|
|
Pose Estimation (Q)
|
87% |
3479
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (Q)
|
86% |
778
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (Q)
|
96% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2143
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
473
3.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
2237
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4693
6.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3625
4.66 IPS |
|
|
Style Transfer (Q)
|
87% |
6295
8.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
374
499.8 IPS |
|
|
Text Classification (Q)
|
97% |
262
350.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
60% |
906
20.2 IPS |
