Mac mini (2024)
Geekbench AI Score
4817
Single Precision Score
36981
Half Precision Score
52487
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | August 11 2025 07:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
17698
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25053
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21871
354.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30623
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123237
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232465
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
18750
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26818
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
44817
532.5 IPS |
|
|
Face Detection (Q)
|
100% |
64564
767.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8548
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100121
771.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
171242
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21784
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232614
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297393
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49732
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86660
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6265
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6291
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16449
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18510
319.9 IPS |
