Mac mini (2024)
Geekbench AI Score
5091
Single Precision Score
38145
Half Precision Score
54858
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 12 2026 12:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
16695
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
25641
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22152
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31194
505.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8788
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122528
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231683
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
18349
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
25605
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
43105
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
69681
828.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8158
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98616
759.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
174037
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
22706
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232036
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
292165
377.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51419
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88426
3.27 KIPS |
|
|
Text Classification (SP)
|
99% |
6038
8.06 KIPS |
|
|
Text Classification (HP)
|
99% |
9559
12.8 KIPS |
|
|
Text Classification (Q)
|
92% |
9270
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16183
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17913
309.6 IPS |
