Mac mini (2023)
Geekbench AI Score
3487
Single Precision Score
23581
Half Precision Score
25778
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | September 17 2024 09:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
15203
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
15727
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9787
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10993
178.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
106459
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105186
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
15354
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17746
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33678
400.2 IPS |
|
|
Face Detection (Q)
|
100% |
42979
510.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87427
673.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110634
864.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203802
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194378
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39757
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47937
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2455
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2440
42.2 IPS |
