Mac mini (2024)
Geekbench AI Score
5735
Single Precision Score
37501
Half Precision Score
50383
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveporter |
| Upload Date | September 26 2025 03:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
17990
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22131
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23615
382.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31653
513.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17323
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122654
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230854
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
20556
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24346
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
5003
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
44345
526.9 IPS |
|
|
Face Detection (Q)
|
100% |
62681
744.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8795
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110403
850.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179419
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30299
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237527
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
326164
420.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7098
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49458
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81191
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5864
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16226
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16415
283.7 IPS |
