Mac mini (2023)
Geekbench AI Score
7186
Single Precision Score
8308
Half Precision Score
7625
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bouresup |
| Upload Date | October 17 2025 03:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (HP)
|
100% |
3557
661.5 IPS |
|
|
Image Classification (Q)
|
96% |
3223
601.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5394
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5647
91.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5420
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22524
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26162
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
24943
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
3366
267.0 IPS |
|
|
Object Detection (HP)
|
100% |
3617
286.9 IPS |
|
|
Object Detection (Q)
|
92% |
3232
258.0 IPS |
|
|
Face Detection (SP)
|
100% |
9814
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
11577
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
9475
112.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15563
119.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17466
134.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
15805
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
40537
52.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47946
61.6 IPS |
|
|
Style Transfer (Q)
|
96% |
46299
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9371
346.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10064
371.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8548
315.6 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2157
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2053
35.5 IPS |
