Mac mini (2024)
Geekbench AI Score
15130
Single Precision Score
17079
Half Precision Score
15763
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7534
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8067
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
7253
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14417
233.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15212
246.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14352
232.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56302
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
58896
68.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57316
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
7060
560.0 IPS |
|
|
Object Detection (HP)
|
100% |
7586
601.8 IPS |
|
|
Object Detection (Q)
|
92% |
6953
555.0 IPS |
|
|
Face Detection (SP)
|
100% |
25999
308.9 IPS |
|
|
Face Detection (HP)
|
100% |
28147
334.4 IPS |
|
|
Face Detection (Q)
|
100% |
24348
289.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33365
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35877
276.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
32554
254.5 IPS |
|
|
Style Transfer (SP)
|
100% |
123355
158.6 IPS |
|
|
Style Transfer (HP)
|
100% |
135239
173.9 IPS |
|
|
Style Transfer (Q)
|
96% |
132070
170.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22846
843.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24418
901.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21081
778.4 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5129
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2018
34.9 IPS |
