Mac mini (2024)
Geekbench AI Score
5792
Single Precision Score
37102
Half Precision Score
50152
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gaurav17p |
| Upload Date | December 10 2025 01:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
17348
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21452
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23613
382.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31869
516.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17390
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122777
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231178
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
19898
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24124
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5049
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
44352
527.0 IPS |
|
|
Face Detection (Q)
|
100% |
63304
752.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8791
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104835
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177999
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30510
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237366
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
328241
423.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48443
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78390
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5961
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16288
280.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16426
283.9 IPS |
