Mac mini (2024)
Geekbench AI Score
5263
Single Precision Score
38122
Half Precision Score
52859
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 02:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.31 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
18237
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
23060
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23019
373.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33754
547.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17013
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
117559
137.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
235084
275.5 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.1 IPS |
|
|
Object Detection (HP)
|
100% |
21692
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
26441
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
43837
520.9 IPS |
|
|
Face Detection (Q)
|
100% |
66400
789.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
115073
886.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
188414
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
25684
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233679
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301227
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5756
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49100
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83265
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6246
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5503
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16755
288.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17617
304.4 IPS |
