Mac mini (2024)
Geekbench AI Score
10003
Single Precision Score
11878
Half Precision Score
10899
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jimmyweee |
| Upload Date | November 14 2025 02:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4723
878.3 IPS |
|
|
Image Classification (HP)
|
100% |
5171
961.6 IPS |
|
|
Image Classification (Q)
|
96% |
4637
865.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7534
122.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8296
134.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7805
126.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28804
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33042
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32110
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4886
387.6 IPS |
|
|
Object Detection (HP)
|
100% |
5395
427.9 IPS |
|
|
Object Detection (Q)
|
92% |
5040
402.3 IPS |
|
|
Face Detection (SP)
|
100% |
12804
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
17278
205.3 IPS |
|
|
Face Detection (Q)
|
100% |
13879
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21024
162.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23575
181.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21229
165.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59957
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72237
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69600
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12157
448.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12366
456.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10755
397.1 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5887
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3169
54.8 IPS |
