MacBook Pro (16-inch, 2021)
Geekbench AI Score
3820
Single Precision Score
13674
Half Precision Score
13809
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | March 17 2026 03:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
5071
943.0 IPS |
|
|
Image Classification (Q)
|
97% |
4461
832.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8095
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9530
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10231
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
62068
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61984
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
6430
511.5 IPS |
|
|
Object Detection (Q)
|
89% |
6709
537.1 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
14307
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
13077
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32992
254.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
32501
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21903
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
112534
144.7 IPS |
|
|
Style Transfer (Q)
|
96% |
98291
126.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17184
634.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22594
834.3 IPS |
|
|
Text Classification (SP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6323
8.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2418
41.8 IPS |
