Mac mini (2023)
Geekbench AI Score
4143
Single Precision Score
6750
Half Precision Score
5299
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | alezanatta |
| Upload Date | November 10 2024 10:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
2254
419.3 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2914
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12888
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25767
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19216
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1996
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5933
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3352
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6220
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12162
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8237
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25223
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39458
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29613
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4442
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6180
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6628
114.5 IPS |
