MacBook Pro (16-inch, 2021)
Geekbench AI Score
3667
Single Precision Score
5877
Half Precision Score
4701
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | June 10 2025 04:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
96% |
1514
282.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11087
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21777
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17374
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3078
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10413
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7062
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22016
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33497
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26920
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4777
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4814
83.2 IPS |
