MacBook Pro (16-inch, 2021)
Geekbench AI Score
8229
Single Precision Score
9188
Half Precision Score
8543
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3849
715.8 IPS |
|
|
Image Classification (HP)
|
100% |
3936
732.0 IPS |
|
|
Image Classification (Q)
|
96% |
3674
686.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7302
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7505
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7077
114.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32684
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35539
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
34600
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
3952
313.5 IPS |
|
|
Object Detection (Q)
|
92% |
3641
290.6 IPS |
|
|
Face Detection (SP)
|
100% |
13729
163.1 IPS |
|
|
Face Detection (HP)
|
100% |
14515
172.5 IPS |
|
|
Face Detection (Q)
|
100% |
12358
146.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19668
151.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18582
143.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
17223
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53529
68.8 IPS |
|
|
Style Transfer (HP)
|
100% |
64539
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
62836
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10621
392.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11323
418.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9692
357.9 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3676
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3671
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1330
23.0 IPS |
