Apple Inc. Macmini7,1 (NonRoot) Apple Inc. Macmini7,1
Geekbench AI Score
438
Single Precision Score
443
Half Precision Score
254
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 16 2025 08:11 PM |
| Views | 9 |
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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
186
3.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
366
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
85% |
166
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (Q)
|
97% |
382
4.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
562
4.33 IPS |
|
|
Depth Estimation (Q)
|
63% |
332
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
842
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
831
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.86 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.5 IPS |
|
|
Text Classification (HP)
|
100% |
416
554.7 IPS |
|
|
Text Classification (Q)
|
92% |
164
219.8 IPS |
|
|
Machine Translation (SP)
|
100% |
607
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
58% |
172
4.05 IPS |
