Mac mini (2024)
Geekbench AI Score
5369
Single Precision Score
37322
Half Precision Score
49525
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveporter |
| Upload Date | May 15 2025 08:10 PM |
| Views | 5 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
18205
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
21733
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23842
386.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32178
521.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17412
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122783
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228775
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
20279
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
23964
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45786
544.0 IPS |
|
|
Face Detection (Q)
|
100% |
56890
676.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
106309
819.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179679
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25769
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237566
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302764
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47384
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82526
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5301
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5529
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16519
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17101
295.5 IPS |
