Mac mini (2024)
Geekbench AI Score
15515
Single Precision Score
17290
Half Precision Score
16285
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | 0x1ac |
| Upload Date | March 08 2026 10:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
7104
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7463
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
7203
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12309
199.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12828
208.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12328
199.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44293
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
49320
57.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
47526
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6582
522.1 IPS |
|
|
Object Detection (HP)
|
100% |
6866
544.6 IPS |
|
|
Object Detection (Q)
|
91% |
6744
538.9 IPS |
|
|
Face Detection (SP)
|
100% |
25070
297.9 IPS |
|
|
Face Detection (HP)
|
100% |
27474
326.5 IPS |
|
|
Face Detection (Q)
|
100% |
24623
292.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30444
234.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31905
245.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29802
233.2 IPS |
|
|
Style Transfer (SP)
|
100% |
103048
132.5 IPS |
|
|
Style Transfer (HP)
|
100% |
112776
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110195
142.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17108
631.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16930
625.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15217
561.9 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7379
127.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7923
136.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6652
115.0 IPS |
