MacBook Pro (16-inch, 2021)
Geekbench AI Score
3594
Single Precision Score
5581
Half Precision Score
4598
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | etheus |
| Upload Date | February 17 2025 10:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (Q)
|
96% |
1456
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10557
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21745
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16239
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2279
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1666
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
4768
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3021
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5764
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10483
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7234
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21151
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31008
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26523
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3479
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4673
80.8 IPS |
