Mac mini (2024)
Geekbench AI Score
4731
Single Precision Score
7759
Half Precision Score
6242
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | SimonMH111 |
| Upload Date | September 22 2025 04:17 AM |
| Views | 4 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3275
609.0 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3175
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3410
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9558
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18923
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16304
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.2 IPS |
|
|
Object Detection (HP)
|
97% |
3653
290.8 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7203
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4285
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8222
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13798
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9624
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22350
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38026
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31221
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7278
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7299
126.1 IPS |
