Mac mini (2023)
Geekbench AI Score
4168
Single Precision Score
6865
Half Precision Score
5446
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 12:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2865
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26460
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20639
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
97% |
2729
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1993
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3374
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6189
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11499
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7876
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25712
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40348
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32209
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5055
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6579
242.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4567
168.6 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7626
131.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7503
129.7 IPS |
