Mac mini (2024)
Geekbench AI Score
15285
Single Precision Score
17454
Half Precision Score
15739
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 02:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
7539
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8260
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7592
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14525
235.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15194
246.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14375
233.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56447
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56800
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
56194
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
6975
553.3 IPS |
|
|
Object Detection (HP)
|
100% |
7726
612.8 IPS |
|
|
Object Detection (Q)
|
92% |
7099
566.7 IPS |
|
|
Face Detection (SP)
|
100% |
25730
305.7 IPS |
|
|
Face Detection (HP)
|
100% |
28625
340.1 IPS |
|
|
Face Detection (Q)
|
100% |
24161
287.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33613
259.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35159
270.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
32205
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
124732
160.3 IPS |
|
|
Style Transfer (HP)
|
100% |
132515
170.3 IPS |
|
|
Style Transfer (Q)
|
96% |
129708
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23183
856.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22122
816.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20413
753.7 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1960
33.9 IPS |
