MacBook Pro (16-inch, 2021)
Geekbench AI Score
3607
Single Precision Score
15909
Half Precision Score
15745
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | korokoroomusubi |
| Upload Date | March 08 2026 01:43 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
5932
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5868
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9263
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10122
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10470
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68160
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
62463
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7033
559.5 IPS |
|
|
Object Detection (Q)
|
91% |
6556
523.9 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13206
156.9 IPS |
|
|
Face Detection (Q)
|
100% |
12267
145.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44734
344.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47246
369.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22109
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115574
148.6 IPS |
|
|
Style Transfer (Q)
|
96% |
109045
140.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24508
905.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24944
921.1 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5945
102.7 IPS |
