Mac mini (2024)
Geekbench AI Score
4874
Single Precision Score
36850
Half Precision Score
52036
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | YashDubey |
| Upload Date | September 30 2025 11:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
17736
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25161
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22318
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30564
495.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123149
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232529
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18932
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25883
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
43726
519.6 IPS |
|
|
Face Detection (Q)
|
100% |
63553
755.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99571
767.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170519
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24493
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232837
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
321542
414.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52631
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86901
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16601
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18442
318.7 IPS |
