Mac mini (2024)
Geekbench AI Score
5112
Single Precision Score
38939
Half Precision Score
55385
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 31 2026 10:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
17873
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25173
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22290
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31459
510.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8788
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123224
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232697
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
18183
1.44 KIPS |
|
|
Object Detection (Q)
|
89% |
26870
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
43172
513.0 IPS |
|
|
Face Detection (Q)
|
100% |
69962
831.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8166
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100583
774.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168982
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
22755
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234365
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293882
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5235
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52869
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85868
3.17 KIPS |
|
|
Text Classification (SP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (HP)
|
99% |
10063
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10077
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16584
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18246
315.3 IPS |
