Mac mini (2024)
Geekbench AI Score
10128
Single Precision Score
11862
Half Precision Score
10877
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | simon07 |
| Upload Date | June 19 2025 03:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4704
874.8 IPS |
|
|
Image Classification (HP)
|
100% |
5007
931.1 IPS |
|
|
Image Classification (Q)
|
96% |
4735
884.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7651
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8398
136.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8109
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29684
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31771
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31475
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4845
384.3 IPS |
|
|
Object Detection (HP)
|
100% |
5434
431.1 IPS |
|
|
Object Detection (Q)
|
92% |
4971
396.8 IPS |
|
|
Face Detection (SP)
|
100% |
12920
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
17067
202.8 IPS |
|
|
Face Detection (Q)
|
100% |
13477
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21629
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23573
181.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21533
168.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60772
78.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71246
91.6 IPS |
|
|
Style Transfer (Q)
|
96% |
69090
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12463
460.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12289
453.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10909
402.8 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3954
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3185
55.0 IPS |
