MacBook Pro (16-inch, 2021)
Geekbench AI Score
3668
Single Precision Score
5836
Half Precision Score
4679
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tmaier |
| Upload Date | March 17 2026 06:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
96% |
1472
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11059
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22851
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17184
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2317
184.4 IPS |
|
|
Object Detection (Q)
|
94% |
1696
135.2 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3030
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9916
76.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7101
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22070
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32006
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25762
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4111
151.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4842
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4879
84.3 IPS |
