MacBook Pro (14-inch, 2021)
Geekbench AI Score
3628
Single Precision Score
15937
Half Precision Score
15743
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DizzyFop |
| Upload Date | September 17 2025 04:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6053
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5817
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9288
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9964
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10511
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66888
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
62044
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7036
559.7 IPS |
|
|
Object Detection (Q)
|
91% |
6602
527.5 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
13216
157.0 IPS |
|
|
Face Detection (Q)
|
100% |
12453
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47027
362.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46490
363.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22149
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115753
148.8 IPS |
|
|
Style Transfer (Q)
|
96% |
109358
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24562
906.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25459
940.1 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4070
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3016
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5479
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6007
103.8 IPS |
