MacBook Pro (16-inch, 2021)
Geekbench AI Score
3679
Single Precision Score
16496
Half Precision Score
16491
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 14 2025 11:27 AM |
| Views | 4 |
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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6943
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6639
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11094
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70681
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67855
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
8001
636.5 IPS |
|
|
Object Detection (Q)
|
91% |
7525
601.3 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15089
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51651
397.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53983
421.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21909
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120677
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116819
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25887
955.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28022
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3920
67.7 IPS |
