Mac mini (2024)
Geekbench AI Score
10085
Single Precision Score
11463
Half Precision Score
10739
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | July 06 2025 10:50 AM |
| Views | 15 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4672
868.9 IPS |
|
|
Image Classification (HP)
|
100% |
4943
919.3 IPS |
|
|
Image Classification (Q)
|
96% |
4697
877.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7570
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8158
132.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7916
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29515
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31724
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31375
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4838
383.7 IPS |
|
|
Object Detection (HP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (Q)
|
92% |
4964
396.3 IPS |
|
|
Face Detection (SP)
|
100% |
12611
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16844
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
13504
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21711
167.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23118
178.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21319
166.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58745
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
70769
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68637
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12334
455.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12304
454.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10795
398.6 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
