MacBook Pro (16-inch, 2021)
Geekbench AI Score
3600
Single Precision Score
5972
Half Precision Score
4795
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | padde96 |
| Upload Date | October 20 2025 12:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10508
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23081
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17709
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2368
188.6 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10289
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7257
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22060
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34961
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27932
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5115
88.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5166
89.3 IPS |
