Mac mini (2024)
Geekbench AI Score
4922
Single Precision Score
36150
Half Precision Score
50919
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 09 2025 11:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
17201
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24449
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22430
363.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30978
502.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123397
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232092
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
17578
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25639
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4271
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43083
511.9 IPS |
|
|
Face Detection (Q)
|
100% |
61345
728.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99080
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159625
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24269
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234607
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321189
414.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51548
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86046
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5354
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16308
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17944
310.1 IPS |
