MacBook Pro (16-inch, 2021)
Geekbench AI Score
3692
Single Precision Score
5865
Half Precision Score
4704
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 12:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2615
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10978
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22141
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17055
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2286
182.0 IPS |
|
|
Object Detection (Q)
|
94% |
1710
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5286
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3107
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10459
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7102
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21949
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33810
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27097
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4058
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4751
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4748
82.0 IPS |
