MacBook Pro (14-inch, 2021)
Geekbench AI Score
3606
Single Precision Score
5727
Half Precision Score
4663
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 01 2025 03:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.3 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2605
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11148
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22071
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17501
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2360
187.9 IPS |
|
|
Object Detection (Q)
|
94% |
1710
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5231
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3002
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5531
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10428
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7152
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20529
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33599
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27361
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4264
157.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6211
229.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4004
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2917
50.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3616
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4610
79.7 IPS |
