Mac mini (2024)
Geekbench AI Score
13256
Single Precision Score
15055
Half Precision Score
13673
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jeremy2002 |
| Upload Date | June 10 2025 03:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6633
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7034
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6492
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12313
199.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12863
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12304
199.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
44089
51.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49104
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47783
56.0 IPS |
|
|
Object Detection (SP)
|
100% |
6431
510.1 IPS |
|
|
Object Detection (HP)
|
100% |
7124
565.0 IPS |
|
|
Object Detection (Q)
|
92% |
6400
510.9 IPS |
|
|
Face Detection (SP)
|
100% |
23530
279.6 IPS |
|
|
Face Detection (HP)
|
100% |
25365
301.4 IPS |
|
|
Face Detection (Q)
|
100% |
21088
250.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30227
232.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31794
245.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
29085
227.2 IPS |
|
|
Style Transfer (SP)
|
100% |
102376
131.6 IPS |
|
|
Style Transfer (HP)
|
100% |
112184
144.2 IPS |
|
|
Style Transfer (Q)
|
96% |
109349
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16181
597.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16678
615.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14839
547.9 IPS |
|
|
Text Classification (SP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5098
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1825
31.5 IPS |
