Mac mini (2024)
Geekbench AI Score
4948
Single Precision Score
36289
Half Precision Score
50814
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | March 23 2026 11:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
17373
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24064
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21943
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29866
484.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122956
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232642
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
17904
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26006
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43524
517.2 IPS |
|
|
Face Detection (Q)
|
100% |
60784
722.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98543
759.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161622
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24426
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232849
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319417
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50992
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82794
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4567
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16636
286.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18214
314.8 IPS |
