MacBook Pro (16-inch, 2021)
Geekbench AI Score
3833
Single Precision Score
13754
Half Precision Score
13777
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | February 24 2026 05:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
5390
1.00 KIPS |
|
|
Image Classification (Q)
|
97% |
4482
836.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7879
127.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9567
155.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
62057
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61793
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
6456
513.6 IPS |
|
|
Object Detection (Q)
|
89% |
6548
524.1 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
14302
169.9 IPS |
|
|
Face Detection (Q)
|
100% |
13266
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33078
254.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
33637
263.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21929
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
113084
145.4 IPS |
|
|
Style Transfer (Q)
|
96% |
98695
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17310
639.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19473
719.1 IPS |
|
|
Text Classification (SP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (HP)
|
99% |
6377
8.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6713
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2412
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2467
42.6 IPS |
