MacBook Pro (16-inch, 2021)
Geekbench AI Score
3615
Single Precision Score
6010
Half Precision Score
4776
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 02:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (Q)
|
96% |
1414
264.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10337
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22886
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16829
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
97% |
2340
186.3 IPS |
|
|
Object Detection (Q)
|
94% |
1743
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5632
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10249
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7251
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22012
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35091
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27905
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4000
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4254
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5090
88.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5186
89.6 IPS |
