MacBook Pro (14-inch, 2021)
Geekbench AI Score
3610
Single Precision Score
15679
Half Precision Score
15536
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | vqt907 |
| Upload Date | February 20 2026 01:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
6021
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5701
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9106
147.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9763
158.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10480
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66290
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64112
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
6872
546.7 IPS |
|
|
Object Detection (Q)
|
91% |
6590
526.5 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
12930
153.6 IPS |
|
|
Face Detection (Q)
|
100% |
12195
144.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44618
343.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46495
363.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22188
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113659
146.1 IPS |
|
|
Style Transfer (Q)
|
96% |
107983
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24291
896.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25153
928.8 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5644
97.5 IPS |
