MacBook Pro (16-inch, 2021)
Geekbench AI Score
3356
Single Precision Score
14621
Half Precision Score
14479
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | October 14 2025 11:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1207
224.4 IPS |
|
|
Image Classification (HP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5498
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8888
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9223
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9704
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67075
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64956
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (HP)
|
99% |
6582
523.6 IPS |
|
|
Object Detection (Q)
|
91% |
6174
493.3 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
10880
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
11176
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43419
334.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
44922
351.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20402
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
114345
147.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106197
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23750
877.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24246
895.3 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3738
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3768
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4089
70.7 IPS |
