MacBook Pro (14-inch, 2021)
Geekbench AI Score
3139
Single Precision Score
5123
Half Precision Score
4045
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Mythic |
| Upload Date | October 27 2025 07:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.7 IPS |
|
|
Image Classification (Q)
|
96% |
1193
222.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2111
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8881
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
20046
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15405
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
97% |
1972
157.0 IPS |
|
|
Object Detection (Q)
|
94% |
1444
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2594
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4801
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8870
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6039
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18831
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29775
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23486
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3530
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3450
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4691
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4716
81.5 IPS |
