MacBook Pro (16-inch, 2021)
Geekbench AI Score
3634
Single Precision Score
6016
Half Precision Score
4844
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Wimpol |
| Upload Date | October 09 2025 09:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2625
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10485
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23036
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17746
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2385
189.9 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3373
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10442
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7319
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22080
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35157
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28045
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4094
151.2 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4155
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4203
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5147
88.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5163
89.2 IPS |
