MacBook Pro (16-inch, 2021)
Geekbench AI Score
3606
Single Precision Score
14926
Half Precision Score
14743
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wolemacintosha |
| Upload Date | March 15 2026 12:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
5959
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5840
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9137
148.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9755
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10451
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66045
77.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60947
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
6796
540.6 IPS |
|
|
Object Detection (Q)
|
91% |
6405
511.8 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
11543
137.2 IPS |
|
|
Face Detection (Q)
|
100% |
11752
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44121
339.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
42422
331.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22176
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113517
145.9 IPS |
|
|
Style Transfer (Q)
|
96% |
107783
139.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23848
880.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24700
912.1 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4202
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2983
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4017
69.4 IPS |
