MacBook Pro (16-inch, 2021)
Geekbench AI Score
8740
Single Precision Score
9899
Half Precision Score
9139
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 10:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4141
770.2 IPS |
|
|
Image Classification (HP)
|
100% |
4287
797.2 IPS |
|
|
Image Classification (Q)
|
96% |
3918
731.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7325
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7492
121.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7143
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32896
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36015
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34755
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3982
315.9 IPS |
|
|
Object Detection (HP)
|
100% |
4306
341.5 IPS |
|
|
Object Detection (Q)
|
92% |
3810
304.1 IPS |
|
|
Face Detection (SP)
|
100% |
14119
167.8 IPS |
|
|
Face Detection (HP)
|
100% |
14687
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
12810
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20026
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19112
147.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
17581
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54192
69.7 IPS |
|
|
Style Transfer (HP)
|
100% |
64920
83.5 IPS |
|
|
Style Transfer (Q)
|
96% |
63618
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10982
405.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11835
437.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10122
373.8 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1857
32.1 IPS |
