Mac mini (2023)
Geekbench AI Score
4314
Single Precision Score
29017
Half Precision Score
32261
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ADK |
| Upload Date | April 20 2026 02:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
14635
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
17584
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19845
321.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25462
412.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11653
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106073
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104475
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
99% |
15349
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17179
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
37634
447.2 IPS |
|
|
Face Detection (Q)
|
100% |
51363
610.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6082
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88171
679.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110311
862.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25212
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207085
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187362
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4925
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42617
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48036
1.77 KIPS |
|
|
Text Classification (SP)
|
99% |
4546
6.07 KIPS |
|
|
Text Classification (HP)
|
99% |
7282
9.72 KIPS |
|
|
Text Classification (Q)
|
92% |
6841
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4301
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4357
75.3 IPS |
