MacBook Pro (16-inch, 2021)
Geekbench AI Score
3413
Single Precision Score
5736
Half Precision Score
4633
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 09 2025 02:22 AM |
| Views | 5 |
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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (Q)
|
96% |
1420
265.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2554
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9471
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21771
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17368
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2274
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1707
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5079
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
2950
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5257
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9778
75.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7019
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19817
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33547
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26824
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5457
201.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3859
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2840
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4783
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4861
84.0 IPS |
