Apple Inc. Macmini8,1
Geekbench AI Score
1743
Single Precision Score
808
Half Precision Score
2168
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maf654321 |
| Upload Date | April 28 2025 02:52 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Parallels |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1056
196.5 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
884
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
5468
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
1422
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4193
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3545
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
5340
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7389
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5378
6.91 IPS |
|
|
Style Transfer (Q)
|
87% |
8977
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1807
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1051
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
501
669.3 IPS |
|
|
Text Classification (Q)
|
97% |
337
451.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1575
30.4 IPS |
