Mac mini (2024)
Geekbench AI Score
4939
Single Precision Score
36547
Half Precision Score
51127
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ntell |
| Upload Date | January 06 2026 12:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
17574
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24175
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21891
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30603
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123103
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232680
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
17966
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26209
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
43451
516.3 IPS |
|
|
Face Detection (Q)
|
100% |
59280
704.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99501
766.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167326
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23297
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232541
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
322347
416.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51892
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83214
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5768
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16606
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18337
316.9 IPS |
