MacBook Pro (16-inch, 2021)
Geekbench AI Score
12548
Single Precision Score
13945
Half Precision Score
13010
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | February 24 2026 04:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4758
884.8 IPS |
|
|
Image Classification (HP)
|
100% |
4916
914.2 IPS |
|
|
Image Classification (Q)
|
94% |
4612
861.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11694
189.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11846
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11214
181.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
56680
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
61758
72.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
59288
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4766
378.1 IPS |
|
|
Object Detection (HP)
|
100% |
4915
389.9 IPS |
|
|
Object Detection (Q)
|
91% |
4460
356.5 IPS |
|
|
Face Detection (SP)
|
100% |
21368
253.9 IPS |
|
|
Face Detection (HP)
|
100% |
22610
268.7 IPS |
|
|
Face Detection (Q)
|
100% |
20650
245.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25944
199.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27310
210.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
25402
198.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96376
123.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120656
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117385
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15717
580.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16592
612.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14949
552.0 IPS |
|
|
Text Classification (SP)
|
99% |
4057
5.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6207
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6581
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1678
29.0 IPS |
