MacBook Pro (14-inch, 2021)
Geekbench AI Score
3597
Single Precision Score
16312
Half Precision Score
16252
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 22 2025 01:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
6932
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6633
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9517
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10251
166.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10758
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
71337
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67480
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
7941
631.7 IPS |
|
|
Object Detection (Q)
|
91% |
7474
597.2 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
15586
185.2 IPS |
|
|
Face Detection (Q)
|
100% |
14702
174.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51624
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53770
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21652
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120988
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116899
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4311
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25957
958.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28056
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3678
63.6 IPS |
