Mac mini (2023)
Geekbench AI Score
7697
Single Precision Score
8628
Half Precision Score
7960
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | macbookjoe |
| Upload Date | September 15 2025 07:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3729
693.5 IPS |
|
|
Image Classification (HP)
|
100% |
3743
696.2 IPS |
|
|
Image Classification (Q)
|
96% |
3446
643.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5750
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5870
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5615
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24458
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26769
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25947
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3638
288.6 IPS |
|
|
Object Detection (HP)
|
100% |
3776
299.5 IPS |
|
|
Object Detection (Q)
|
92% |
3105
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
10363
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
12192
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
9900
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16889
130.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18161
139.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16635
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42477
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49165
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
48187
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10010
369.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10421
384.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9265
342.1 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2174
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2192
37.9 IPS |
