Mac mini (2024)
Geekbench AI Score
4776
Single Precision Score
7864
Half Precision Score
6302
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | calvinh |
| Upload Date | March 17 2026 06:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (Q)
|
96% |
2250
420.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9175
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18820
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16431
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
97% |
3681
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7690
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4457
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14069
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9981
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24514
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38769
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31870
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5626
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7266
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7380
127.5 IPS |
