Mac mini M4 (2024) Viktor Mac mini (2024)
Geekbench AI Score
9917
Single Precision Score
11713
Half Precision Score
10953
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Niiiko |
| Upload Date | February 16 2026 05:30 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4752
883.8 IPS |
|
|
Image Classification (HP)
|
100% |
5166
960.8 IPS |
|
|
Image Classification (Q)
|
96% |
4621
862.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7581
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8140
132.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7866
127.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28908
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33016
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32092
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4925
390.6 IPS |
|
|
Object Detection (HP)
|
100% |
5364
425.5 IPS |
|
|
Object Detection (Q)
|
92% |
5038
402.2 IPS |
|
|
Face Detection (SP)
|
100% |
13007
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
17289
205.4 IPS |
|
|
Face Detection (Q)
|
100% |
13943
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21006
161.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23442
180.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21289
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59654
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72198
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
71293
92.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12059
445.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12446
459.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10793
398.5 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5820
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2716
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3161
54.6 IPS |
