Mac mini (2024)
Geekbench AI Score
5779
Single Precision Score
37427
Half Precision Score
50533
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | November 03 2025 06:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
17771
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
21533
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23509
381.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31776
515.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17411
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122712
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231528
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2520
199.9 IPS |
|
|
Object Detection (HP)
|
100% |
20050
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24303
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4810
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
44565
529.5 IPS |
|
|
Face Detection (Q)
|
100% |
63198
750.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8650
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104356
804.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175109
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30332
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236630
304.2 IPS |
|
|
Style Transfer (Q)
|
96% |
329357
425.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7113
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48625
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79251
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6032
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5965
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16257
280.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16542
285.9 IPS |
