Apple Inc. Macmini7,1 (NonRoot) Apple Inc. Macmini7,1
Geekbench AI Score
642
Single Precision Score
266
Half Precision Score
726
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 27 2025 10:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4260U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Apple Inc. Macmini7,1 |
| Motherboard | Apple Inc. Mac-35C5E08120C7EEAF |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4260U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (Q)
|
94% |
508
94.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
426
6.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
767
0.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
1047
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.97 IPS |
|
|
Object Detection (Q)
|
58% |
356
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
741
8.81 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (Q)
|
96% |
1305
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1130
8.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
383
2.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
1152
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
2299
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1827
2.35 IPS |
|
|
Style Transfer (Q)
|
87% |
2322
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
509
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.3 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.3 IPS |
|
|
Text Classification (Q)
|
97% |
441
590.7 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (Q)
|
68% |
646
12.5 IPS |
