Mac mini (2024)
Geekbench AI Score
5349
Single Precision Score
37667
Half Precision Score
49602
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 15 2025 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
17768
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22327
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23256
377.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32384
525.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17022
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122427
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
227923
267.1 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
19970
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24075
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
40695
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
55924
664.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109310
842.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180853
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25702
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238390
306.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302684
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46764
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79244
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6858
9.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5439
93.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16737
288.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16713
288.8 IPS |
