MacBook Pro (14-inch, 2021)
Geekbench AI Score
3665
Single Precision Score
5835
Half Precision Score
4664
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | May 26 2025 01:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
96% |
1501
280.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11219
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22187
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17245
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2287
182.1 IPS |
|
|
Object Detection (Q)
|
94% |
1712
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3065
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10335
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7008
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21761
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33493
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25257
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4028
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4060
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4761
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4773
82.5 IPS |
