Mac mini (2024)
Geekbench AI Score
15076
Single Precision Score
16690
Half Precision Score
15508
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 20 2025 06:29 AM |
| Views | 6 |
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% |
7104
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7477
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6856
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12371
200.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12985
210.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12248
198.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
46080
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47388
55.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46593
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
7022
557.0 IPS |
|
|
Object Detection (HP)
|
100% |
7316
580.3 IPS |
|
|
Object Detection (Q)
|
92% |
6419
512.4 IPS |
|
|
Face Detection (SP)
|
100% |
23786
282.6 IPS |
|
|
Face Detection (HP)
|
100% |
24993
297.0 IPS |
|
|
Face Detection (Q)
|
100% |
21370
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30886
238.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31960
246.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
29324
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
104629
134.5 IPS |
|
|
Style Transfer (HP)
|
100% |
110365
141.9 IPS |
|
|
Style Transfer (Q)
|
96% |
109255
141.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17050
629.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17764
655.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15038
555.3 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5578
96.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6002
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6016
104.0 IPS |
