Mac mini (2024)
Geekbench AI Score
4737
Single Precision Score
7764
Half Precision Score
6239
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | September 17 2025 03:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3456
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9734
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18979
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16310
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.4 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7467
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4326
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8194
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13329
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9627
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22198
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37495
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30967
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5759
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7097
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5751
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7127
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7177
124.0 IPS |
