Mac mini (2023)
Geekbench AI Score
3469
Single Precision Score
27172
Half Precision Score
29995
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | macbookjoe |
| Upload Date | September 15 2025 07:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
15333
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
16295
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19701
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24263
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105978
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106929
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
15703
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17895
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33687
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
42919
510.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5588
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88043
678.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110227
861.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18712
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204593
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
193868
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42923
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49622
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4430
76.6 IPS |
