MacBook Pro (16-inch, 2021)
Geekbench AI Score
3664
Single Precision Score
5896
Half Precision Score
5055
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 12:49 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.3 IPS |
|
|
Image Classification (Q)
|
99% |
2013
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2240
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22306
26.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17038
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2276
181.2 IPS |
|
|
Object Detection (Q)
|
94% |
1694
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
5316
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3136
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10268
79.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
10281
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22010
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33851
43.5 IPS |
|
|
Style Transfer (Q)
|
100% |
33863
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6038
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4041
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3939
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4895
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4826
83.4 IPS |
