Apple Inc. Macmini8,1
Geekbench AI Score
2639
Single Precision Score
2654
Half Precision Score
4068
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 12 2025 12:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500B CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500B |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
1796
334.0 IPS |
|
|
Image Classification (Q)
|
100% |
2566
477.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3124
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3512
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
6337
7.43 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
1622
128.7 IPS |
|
|
Object Detection (Q)
|
87% |
2752
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
7068
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4195
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4320
33.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
7121
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9354
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9533
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18837
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2045
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4009
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (Q)
|
91% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2509
43.2 IPS |
