Mac mini (2024)
Geekbench AI Score
8402
Single Precision Score
10122
Half Precision Score
9240
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | March 25 2025 12:46 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4758
884.8 IPS |
|
|
Image Classification (HP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (Q)
|
97% |
4425
825.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7014
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7623
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29841
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32352
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30669
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4989
395.7 IPS |
|
|
Object Detection (HP)
|
100% |
5494
435.8 IPS |
|
|
Object Detection (Q)
|
91% |
4701
375.6 IPS |
|
|
Face Detection (SP)
|
100% |
12583
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
16055
190.8 IPS |
|
|
Face Detection (Q)
|
100% |
12524
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21577
166.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24043
185.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20659
161.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58534
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72347
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68548
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12618
465.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13612
502.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11039
407.6 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |
