Apple Inc. Macmini7,1
Geekbench AI Score
440
Single Precision Score
440
Half Precision Score
253
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 12 2025 09:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
365
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.2 IPS |
|
|
Object Detection (Q)
|
85% |
163
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (Q)
|
97% |
382
4.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
63% |
332
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
832
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
827
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.85 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.5 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.6 IPS |
|
|
Text Classification (Q)
|
92% |
163
219.4 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.6 IPS |
|
|
Machine Translation (Q)
|
58% |
172
4.04 IPS |
