MacBook Pro (14-inch, 2021)
Geekbench AI Score
3144
Single Precision Score
14360
Half Precision Score
14419
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Mythic |
| Upload Date | October 27 2025 07:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.8 IPS |
|
|
Image Classification (HP)
|
100% |
5058
940.6 IPS |
|
|
Image Classification (Q)
|
96% |
5130
957.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8337
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9105
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8676
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
66999
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
61368
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
99% |
6298
501.0 IPS |
|
|
Object Detection (Q)
|
91% |
6059
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
10907
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
10716
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4813
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41999
323.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47710
372.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18998
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
112246
144.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106788
137.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22922
846.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24441
902.5 IPS |
|
|
Text Classification (SP)
|
100% |
2046
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3517
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3447
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4865
84.1 IPS |
