MacBook Pro (14-inch, 2021)
Geekbench AI Score
3664
Single Precision Score
16482
Half Precision Score
16424
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 08:07 PM |
| Views | 2 |
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, 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
6918
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6607
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9691
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70544
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67891
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
8039
639.5 IPS |
|
|
Object Detection (Q)
|
91% |
7541
602.5 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
16088
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15080
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5715
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51759
398.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53383
417.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21941
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120478
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116254
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25869
955.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27908
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3857
66.7 IPS |
