Apple Inc. Macmini7,1 (Root) Apple Inc. Macmini7,1
Geekbench AI Score
439
Single Precision Score
443
Half Precision Score
253
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 28 2025 12:19 PM |
| Views | 13 |
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
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
365
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
85% |
165
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
97% |
381
4.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
63% |
332
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
837
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
837
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
830
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.82 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.5 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.3 IPS |
|
|
Text Classification (Q)
|
92% |
162
217.3 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
58% |
172
4.03 IPS |
