Mac mini (2023)
Geekbench AI Score
3258
Single Precision Score
4823
Half Precision Score
4002
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | August 16 2024 04:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
99% |
1925
359.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1311
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6147
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14717
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12650
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2906
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8825
68.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4461
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17554
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27330
35.1 IPS |
|
|
Style Transfer (Q)
|
100% |
27311
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3629
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3174
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4554
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4562
78.8 IPS |
