MacBook Pro (14-inch, 2021)
Geekbench AI Score
3669
Single Precision Score
5797
Half Precision Score
4697
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11122
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21536
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16982
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.5 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
3078
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7142
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21938
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33979
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27140
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4317
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5610
207.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4719
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4733
81.8 IPS |
