Mac mini (2024)
Geekbench AI Score
16039
Single Precision Score
17294
Half Precision Score
16890
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vuthi |
| Upload Date | September 24 2025 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8048
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8272
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7473
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14167
229.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15140
245.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14395
233.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
54426
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59507
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57152
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
7545
598.5 IPS |
|
|
Object Detection (HP)
|
100% |
7286
577.9 IPS |
|
|
Object Detection (Q)
|
92% |
7451
594.8 IPS |
|
|
Face Detection (SP)
|
100% |
25683
305.2 IPS |
|
|
Face Detection (HP)
|
100% |
29376
349.1 IPS |
|
|
Face Detection (Q)
|
100% |
24069
286.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33044
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34937
269.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
32422
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
120529
154.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134328
172.7 IPS |
|
|
Style Transfer (Q)
|
96% |
131221
169.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20649
762.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20837
769.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18431
680.6 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3986
68.9 IPS |
