Mac mini (2023)
Geekbench AI Score
3165
Single Precision Score
4716
Half Precision Score
4039
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gastaro |
| Upload Date | September 16 2024 10:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.4 IPS |
|
|
Image Classification (Q)
|
96% |
1391
259.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1801
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14612
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12613
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2194
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1632
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2815
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8533
66.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6429
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16817
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26397
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22148
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3478
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4508
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4547
78.6 IPS |
