Mac mini (2023)
Geekbench AI Score
3039
Single Precision Score
4639
Half Precision Score
3876
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mutantlog |
| Upload Date | August 21 2024 04:59 AM |
| Views | 10 |
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 | 3.35 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
99% |
1786
333.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1273
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5801
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14533
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12203
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2154
171.5 IPS |
|
|
Object Detection (Q)
|
94% |
1642
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
2802
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5094
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8332
64.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4122
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16000
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26122
33.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26201
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4657
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3544
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3593
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4265
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4364
75.4 IPS |
