MacBook Pro (16-inch, 2021)
Geekbench AI Score
3604
Single Precision Score
5996
Half Precision Score
4836
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10501
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23136
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17741
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2353
187.3 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10343
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7320
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22170
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35186
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28030
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4052
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4234
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5186
89.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5186
89.6 IPS |
