MacBook Pro (16-inch, 2021)
Geekbench AI Score
3663
Single Precision Score
16558
Half Precision Score
16565
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 10:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
6960
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6669
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10445
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11045
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70458
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
68003
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
8049
640.3 IPS |
|
|
Object Detection (Q)
|
91% |
7622
609.1 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15206
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52007
400.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54373
424.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21756
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120660
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117893
152.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26167
966.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27987
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3870
66.9 IPS |
