Mac mini (2024)
Geekbench AI Score
4533
Single Precision Score
37276
Half Precision Score
53397
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 05 2025 03:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1882
350.0 IPS |
|
|
Image Classification (HP)
|
100% |
17971
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
26439
4.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21721
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29908
484.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9801
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116923
136.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230902
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
18421
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26450
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43817
520.6 IPS |
|
|
Face Detection (Q)
|
100% |
66249
787.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99921
769.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168096
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25390
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236897
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299423
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49323
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85489
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7290
9.73 KIPS |
|
|
Text Classification (Q)
|
93% |
7377
9.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16520
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18558
320.7 IPS |
