Mac mini (2024)
Geekbench AI Score
4951
Single Precision Score
36756
Half Precision Score
51999
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jmvioque |
| Upload Date | November 26 2025 09:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
17987
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
27385
5.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22335
362.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30617
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9933
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123753
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233452
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
18365
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26617
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
43663
518.8 IPS |
|
|
Face Detection (Q)
|
100% |
61809
734.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99447
766.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164614
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233683
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322630
416.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52606
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83351
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4546
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16436
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18139
313.5 IPS |
