Apple Inc. Macmini8,1
Geekbench AI Score
2199
Single Precision Score
562
Half Precision Score
2294
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 01:33 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
97% |
1780
332.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1451
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4174
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
7164
8.46 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
1185
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
207
2.45 IPS |
|
|
Face Detection (Q)
|
96% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4632
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
660
5.09 IPS |
|
|
Depth Estimation (Q)
|
76% |
4248
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10217
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7759
9.97 IPS |
|
|
Style Transfer (Q)
|
87% |
11307
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1559
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2224
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.5 IPS |
|
|
Text Classification (Q)
|
97% |
422
565.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
60% |
1421
31.7 IPS |
