Mac mini (2023)
Geekbench AI Score
4157
Single Precision Score
26912
Half Precision Score
30305
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 02:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
14915
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
18227
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19770
320.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24723
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12419
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
106844
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105396
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
15527
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17775
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
33703
400.5 IPS |
|
|
Face Detection (Q)
|
100% |
43832
520.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87805
676.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109978
859.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25032
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204356
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
197419
254.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5079
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44358
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51185
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3809
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3978
68.7 IPS |
