Mac mini (2023)
Geekbench AI Score
6001
Single Precision Score
6575
Half Precision Score
2143
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 09:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3500
650.9 IPS |
|
|
Image Classification (HP)
|
100% |
3503
651.5 IPS |
|
|
Image Classification (Q)
|
97% |
2660
496.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4916
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4841
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24493
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26130
30.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
23795
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3548
281.4 IPS |
|
|
Object Detection (HP)
|
100% |
3591
284.9 IPS |
|
|
Object Detection (Q)
|
92% |
2803
223.8 IPS |
|
|
Face Detection (SP)
|
100% |
9822
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
11340
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
7721
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16510
127.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17702
136.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42239
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48168
61.9 IPS |
|
|
Style Transfer (Q)
|
96% |
45042
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9482
350.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10118
373.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7824
288.9 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.7 IPS |
|
|
Text Classification (HP)
|
100% |
613
818.5 IPS |
|
|
Text Classification (Q)
|
93% |
609
816.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
