MacBook Pro (14-inch, 2021)
Geekbench AI Score
3673
Single Precision Score
16420
Half Precision Score
16375
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
6903
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6584
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9690
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11094
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70236
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67779
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
7996
636.1 IPS |
|
|
Object Detection (Q)
|
91% |
7516
600.6 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15001
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51702
398.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53779
420.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21909
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120381
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115721
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25838
954.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27863
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3843
66.4 IPS |
