MacBook Pro (16-inch, 2021)
Geekbench AI Score
3557
Single Precision Score
5651
Half Precision Score
4532
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | superlid |
| Upload Date | March 15 2025 08:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
1898
352.9 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10915
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21504
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16949
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.8 IPS |
|
|
Object Detection (Q)
|
94% |
1648
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5209
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
2851
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5614
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10316
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7071
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21533
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34464
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26327
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3526
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4666
80.6 IPS |
