Mac mini (2024)
Geekbench AI Score
4918
Single Precision Score
36450
Half Precision Score
51874
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | natkat |
| Upload Date | February 07 2026 11:11 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2102
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
17127
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24720
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22236
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30186
489.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123266
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232689
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
18032
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26238
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43354
515.1 IPS |
|
|
Face Detection (Q)
|
100% |
61693
733.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99519
766.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169925
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24076
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236345
303.8 IPS |
|
|
Style Transfer (Q)
|
96% |
322211
415.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51891
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88436
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5608
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16481
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18402
318.0 IPS |
