Mac mini (2023)
Geekbench AI Score
4150
Single Precision Score
27539
Half Precision Score
30700
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Tianli |
| Upload Date | May 07 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
15571
2.90 KIPS |
|
|
Image Classification (Q)
|
96% |
17998
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20112
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24803
402.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12814
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106392
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105153
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (HP)
|
99% |
15391
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17690
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
36113
429.1 IPS |
|
|
Face Detection (Q)
|
100% |
46514
552.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6318
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88941
685.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109166
853.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24840
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203123
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192901
248.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41609
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49377
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4406
76.1 IPS |
