Apple Inc. Macmini8,1
Geekbench AI Score
924
Single Precision Score
1093
Half Precision Score
744
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 12 2025 12:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (Q)
|
100% |
411
76.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
477
7.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
2258
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
2033
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
98% |
490
39.0 IPS |
|
|
Object Detection (Q)
|
86% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
726
8.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1695
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2111
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1444
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5794
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
8686
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4843
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1136
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.3 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.3 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.3 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.93 IPS |
