MacBook Pro (16-inch, 2021)
Geekbench AI Score
3611
Single Precision Score
6006
Half Precision Score
4814
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | althoor |
| Upload Date | October 27 2025 11:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10420
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23148
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17593
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2351
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5503
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3188
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10505
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7297
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22052
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35253
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28070
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4052
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5161
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5147
88.9 IPS |
