Mac mini (Late 2014)
Geekbench AI Score
301
Single Precision Score
204
Half Precision Score
165
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | iPhil |
| Upload Date | January 28 2025 10:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-4278U |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| Model | Mac mini (Late 2014) |
| Model ID | Macmini7,1 |
| Motherboard | Apple Inc. Mac-35C5E08120C7EEAF Macmini7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4278U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.60 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% |
127
23.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
96% |
74
13.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
104
1.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
898
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
164
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
164
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.00 IPS |
|
|
Object Detection (Q)
|
92% |
81
6.48 IPS |
|
|
Face Detection (SP)
|
100% |
379
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.43 IPS |
|
|
Face Detection (Q)
|
100% |
153
1.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
389
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.34 IPS |
|
|
Depth Estimation (Q)
|
85% |
239
1.87 IPS |
|
|
Style Transfer (SP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
637
0.82 IPS |
|
|
Style Transfer (Q)
|
96% |
573
0.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.59 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
122
4.51 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.6 IPS |
|
|
Text Classification (HP)
|
100% |
254
339.2 IPS |
|
|
Text Classification (Q)
|
93% |
253
339.9 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
98% |
227
3.92 IPS |
