Mac mini (Late 2014)
Geekbench AI Score
384
Single Precision Score
376
Half Precision Score
199
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | mthocker |
| Upload Date | April 10 2025 10:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel Iris Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (Late 2014) |
| Model ID | Macmini7,1 |
| Motherboard | Apple Inc. Mac-35C5E08120C7EEAF Macmini7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4308U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
96% |
51
9.56 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
97
1.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
989
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
977
1.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
595
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
93% |
77
6.12 IPS |
|
|
Face Detection (SP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
100% |
110
1.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.32 IPS |
|
|
Depth Estimation (Q)
|
85% |
565
4.42 IPS |
|
|
Style Transfer (SP)
|
100% |
984
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1054
1.36 IPS |
|
|
Style Transfer (Q)
|
96% |
1059
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
229
8.44 IPS |
|
|
Text Classification (SP)
|
71% |
204
295.6 IPS |
|
|
Text Classification (HP)
|
71% |
220
318.4 IPS |
|
|
Text Classification (Q)
|
71% |
161
233.0 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (Q)
|
98% |
178
3.07 IPS |
