MacBook Pro (14-inch, 2021)
Geekbench AI Score
3585
Single Precision Score
5958
Half Precision Score
4808
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 07:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1290
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (Q)
|
96% |
1519
283.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10426
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23120
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17774
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2250
179.1 IPS |
|
|
Object Detection (Q)
|
94% |
1710
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5409
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3188
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10555
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7321
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22077
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35313
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28156
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4023
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4087
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5183
89.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5157
89.1 IPS |
