Apple Inc. Macmini8,1
Geekbench AI Score
2180
Single Precision Score
614
Half Precision Score
3127
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maf654321 |
| Upload Date | April 30 2025 03:04 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.5 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
94% |
2763
516.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1670
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3690
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
6209
7.34 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
58% |
1902
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (Q)
|
96% |
6057
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4135
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
815
6.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
6013
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9127
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6896
8.86 IPS |
|
|
Style Transfer (Q)
|
87% |
9740
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
481
642.4 IPS |
|
|
Text Classification (Q)
|
97% |
1198
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
68% |
1852
35.8 IPS |
