Mac mini (2023)
Geekbench AI Score
3440
Single Precision Score
26866
Half Precision Score
29947
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 09:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
14833
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15723
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19717
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24143
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6853
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
106600
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105646
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15588
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
18330
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33933
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
43165
512.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5553
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87475
673.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110262
861.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18683
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205307
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194438
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40216
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49190
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4442
76.8 IPS |
