Mac mini (2024)
Geekbench AI Score
13847
Single Precision Score
15668
Half Precision Score
13892
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 12:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7745
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8332
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
6850
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12182
197.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13116
212.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13368
216.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56674
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59113
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56141
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7221
572.8 IPS |
|
|
Object Detection (HP)
|
100% |
7742
614.1 IPS |
|
|
Object Detection (Q)
|
91% |
6453
515.6 IPS |
|
|
Face Detection (SP)
|
100% |
25044
297.6 IPS |
|
|
Face Detection (HP)
|
100% |
29185
346.8 IPS |
|
|
Face Detection (Q)
|
100% |
20623
245.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34368
264.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36217
279.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29747
232.5 IPS |
|
|
Style Transfer (SP)
|
100% |
124808
160.4 IPS |
|
|
Style Transfer (HP)
|
100% |
134947
173.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127483
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22951
847.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24185
893.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19764
729.8 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5286
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5312
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
983
17.0 IPS |
