Mac mini (2024)
Geekbench AI Score
4672
Single Precision Score
7743
Half Precision Score
6224
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 17 2026 06:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3212
597.4 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3186
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3503
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9358
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18833
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16244
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.7 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
4079
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7175
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14592
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10273
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20084
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37469
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31507
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7212
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5592
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4290
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6817
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6680
115.4 IPS |
