MacBook Pro (16-inch, 2021)
Geekbench AI Score
8674
Single Precision Score
9701
Half Precision Score
8736
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fabrizioooOH |
| Upload Date | October 28 2025 01:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
4014
746.5 IPS |
|
|
Image Classification (HP)
|
100% |
4038
750.9 IPS |
|
|
Image Classification (Q)
|
96% |
3799
709.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7274
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7497
121.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7106
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32830
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36092
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34633
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
4057
321.8 IPS |
|
|
Object Detection (Q)
|
92% |
3828
305.6 IPS |
|
|
Face Detection (SP)
|
100% |
13790
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
14987
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
12712
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19753
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18907
145.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17403
135.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53857
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64633
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63298
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10757
397.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11679
431.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9929
366.6 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1783
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1971
33.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1327
22.9 IPS |
