Mac mini (2023)
Geekbench AI Score
3124
Single Precision Score
4718
Half Precision Score
3912
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | August 15 2024 05:38 PM |
| Views | 5 |
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 | 3.32 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (Q)
|
99% |
1770
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1295
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6103
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14527
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12357
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2109
167.9 IPS |
|
|
Object Detection (Q)
|
94% |
1659
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2732
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8577
66.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4070
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15620
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26658
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26335
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3605
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3680
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4525
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4609
79.7 IPS |
