MacBook Pro (16-inch, 2021)
Geekbench AI Score
3346
Single Precision Score
5449
Half Precision Score
4342
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 03:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
1821
338.6 IPS |
|
|
Image Classification (Q)
|
96% |
1313
245.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2262
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9727
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21743
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16761
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2100
167.2 IPS |
|
|
Object Detection (Q)
|
94% |
1549
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4892
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
2782
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5144
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9419
72.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6493
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20085
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31637
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25093
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3761
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3682
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3656
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4977
86.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4965
85.8 IPS |
