Mac mini (2023)
Geekbench AI Score
4092
Single Precision Score
26617
Half Precision Score
29484
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | March 13 2026 12:28 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
14822
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
16765
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20148
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25031
405.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11911
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106109
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104648
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (HP)
|
99% |
15435
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17224
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
36407
432.6 IPS |
|
|
Face Detection (Q)
|
100% |
47708
566.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6112
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88401
681.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109401
854.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25682
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206992
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194243
250.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4944
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43839
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49734
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3132
54.1 IPS |
