MacBook Pro (16-inch, 2021)
Geekbench AI Score
3606
Single Precision Score
12806
Half Precision Score
12701
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tsteele2013 |
| Upload Date | April 09 2026 07:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
4700
874.1 IPS |
|
|
Image Classification (Q)
|
96% |
4224
788.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8015
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9064
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10532
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
61968
72.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61768
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
6686
531.9 IPS |
|
|
Object Detection (Q)
|
91% |
6435
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
10842
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
10657
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32956
253.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
32493
253.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22160
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
100875
129.7 IPS |
|
|
Style Transfer (Q)
|
96% |
98590
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13900
513.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13881
512.5 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4054
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3738
64.6 IPS |
