Mac mini (2024)
Geekbench AI Score
5788
Single Precision Score
37831
Half Precision Score
50835
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | davidsamson |
| Upload Date | October 26 2025 02:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
17639
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22224
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23581
382.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32761
531.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17433
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122889
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231115
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
20193
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24391
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
44792
532.2 IPS |
|
|
Face Detection (Q)
|
100% |
63966
760.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8747
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110278
849.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178891
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30344
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238002
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
328351
423.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50332
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79159
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5917
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5881
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16616
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16604
286.9 IPS |
