Mac mini (2024)
Geekbench AI Score
5785
Single Precision Score
9408
Half Precision Score
7212
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
3079
572.6 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17379
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34121
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26820
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
3894
310.0 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
5043
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8594
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4831
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8844
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15003
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9845
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30658
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56978
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43639
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7000
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9346
345.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5399
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5724
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5834
100.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9585
165.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9359
161.7 IPS |
