Mac mini (2024)
Geekbench AI Score
17189
Single Precision Score
19037
Half Precision Score
17757
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | tlgeekbench |
| Upload Date | January 09 2026 04:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 4.08 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7938
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8533
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
7542
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14640
237.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15149
245.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14309
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56875
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
57600
67.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
56481
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
7577
601.0 IPS |
|
|
Object Detection (HP)
|
100% |
7933
629.2 IPS |
|
|
Object Detection (Q)
|
92% |
7263
579.7 IPS |
|
|
Face Detection (SP)
|
100% |
26278
312.2 IPS |
|
|
Face Detection (HP)
|
100% |
29615
351.9 IPS |
|
|
Face Detection (Q)
|
100% |
23942
284.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34869
268.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36206
278.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
33241
259.6 IPS |
|
|
Style Transfer (SP)
|
100% |
126616
162.8 IPS |
|
|
Style Transfer (HP)
|
100% |
135268
173.9 IPS |
|
|
Style Transfer (Q)
|
96% |
132054
170.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23486
867.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22640
836.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21001
775.5 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5259
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5691
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6101
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6068
104.9 IPS |
