Apple Inc. Macmini8,1
Geekbench AI Score
1547
Single Precision Score
2296
Half Precision Score
2205
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 12 2025 12:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1013
188.3 IPS |
|
|
Image Classification (HP)
|
100% |
1549
288.1 IPS |
|
|
Image Classification (Q)
|
100% |
1425
264.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1933
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
2360
2.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
3484
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
978
77.5 IPS |
|
|
Object Detection (HP)
|
99% |
1629
129.6 IPS |
|
|
Object Detection (Q)
|
88% |
1510
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (Q)
|
97% |
3674
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2940
22.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5084
39.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
4611
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7034
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
9597
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8571
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
71% |
684
988.8 IPS |
|
|
Text Classification (HP)
|
71% |
797
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
615
825.6 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
97% |
1039
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
