MacBook Pro (16-inch, 2021)
Geekbench AI Score
3683
Single Precision Score
16400
Half Precision Score
16167
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 06 2025 04:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6873
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6633
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9691
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70274
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67999
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7956
632.9 IPS |
|
|
Object Detection (Q)
|
91% |
7487
598.2 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16098
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
12683
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50644
390.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53809
420.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22056
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120673
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115660
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25843
954.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27978
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3902
67.4 IPS |
