Mac mini (2024)
Geekbench AI Score
15048
Single Precision Score
16526
Half Precision Score
15613
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 19 2025 06:21 AM |
| Views | 4 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7621
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
6967
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12412
201.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12926
209.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12287
199.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46057
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47440
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46685
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6638
526.5 IPS |
|
|
Object Detection (HP)
|
100% |
7323
580.8 IPS |
|
|
Object Detection (Q)
|
92% |
6701
534.9 IPS |
|
|
Face Detection (SP)
|
100% |
24278
288.5 IPS |
|
|
Face Detection (HP)
|
100% |
23977
284.9 IPS |
|
|
Face Detection (Q)
|
100% |
21729
258.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31551
243.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
31535
243.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
29310
228.9 IPS |
|
|
Style Transfer (SP)
|
100% |
104557
134.4 IPS |
|
|
Style Transfer (HP)
|
100% |
109995
141.4 IPS |
|
|
Style Transfer (Q)
|
96% |
109643
141.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16860
622.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17415
643.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15095
557.4 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5174
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5102
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5609
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5926
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5979
103.3 IPS |
