Mac mini (2024)
Geekbench AI Score
4964
Single Precision Score
36349
Half Precision Score
50816
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | zero |
| Upload Date | January 09 2026 02:57 AM |
| Views | 7 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
17340
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24064
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22154
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30358
492.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122628
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233842
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
17853
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26131
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
42973
510.6 IPS |
|
|
Face Detection (Q)
|
100% |
60392
717.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99284
764.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
156774
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
24657
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232769
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
321669
415.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51436
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83681
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5681
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5565
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16499
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18139
313.5 IPS |
