MacBook Pro (16-inch, 2021)
Geekbench AI Score
3659
Single Precision Score
5833
Half Precision Score
4691
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 13 2025 09:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21668
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17140
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5215
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10280
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7149
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21898
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31912
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25849
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4066
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4893
84.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4747
82.0 IPS |
