MacBook Pro (14-inch, 2021) CPU MacBook Pro (14-inch, 2021)
Geekbench AI Score
2743
Single Precision Score
4166
Half Precision Score
3651
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | chemeya |
| Upload Date | October 26 2025 06:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
96% |
1282
239.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13114
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11378
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
1890
150.4 IPS |
|
|
Object Detection (Q)
|
94% |
1468
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
2644
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5070
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7869
60.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6023
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14778
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23490
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20084
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3306
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3976
146.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3289
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3555
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3138
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
