Mac mini (2024)
Geekbench AI Score
5761
Single Precision Score
9368
Half Precision Score
7177
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dcjonesjr |
| Upload Date | February 21 2026 08:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2167
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
3047
566.6 IPS |
|
|
Image Classification (Q)
|
96% |
2150
401.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3887
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17370
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34276
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26729
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
97% |
3895
310.1 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
4995
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8500
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4736
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8769
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15303
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10084
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30417
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56685
72.9 IPS |
|
|
Style Transfer (Q)
|
96% |
43511
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7110
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9438
348.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5309
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5577
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5969
102.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9609
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9582
165.6 IPS |
