MacBook Pro (16-inch, 2021)
Geekbench AI Score
3735
Single Precision Score
5722
Half Precision Score
4631
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 06:58 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| 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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11089
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21919
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17293
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2363
188.1 IPS |
|
|
Object Detection (Q)
|
94% |
1707
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
2918
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10522
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7342
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34916
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26327
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6248
230.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4047
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3042
52.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4566
78.9 IPS |
