Mac mini (2024)
Geekbench AI Score
9145
Single Precision Score
12046
Half Precision Score
11624
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | April 16 2026 03:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
2163
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
2312
429.9 IPS |
|
|
Image Classification (Q)
|
96% |
2449
457.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8162
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7870
127.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26706
31.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32509
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31604
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
4650
368.9 IPS |
|
|
Object Detection (HP)
|
100% |
5274
418.3 IPS |
|
|
Object Detection (Q)
|
91% |
5250
419.6 IPS |
|
|
Face Detection (SP)
|
100% |
11502
136.7 IPS |
|
|
Face Detection (HP)
|
100% |
16721
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
15883
188.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19716
151.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22979
177.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
21727
170.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59326
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71011
91.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68074
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11813
436.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12148
448.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10614
391.9 IPS |
|
|
Text Classification (SP)
|
100% |
6584
8.79 KIPS |
|
|
Text Classification (HP)
|
99% |
10268
13.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10305
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5847
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5483
94.8 IPS |
