MacBook Pro (16-inch, 2021)
Geekbench AI Score
3643
Single Precision Score
15279
Half Precision Score
15140
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | fefehacker |
| Upload Date | January 20 2026 06:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
6586
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6267
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8804
142.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9371
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10469
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69187
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65566
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7517
598.0 IPS |
|
|
Object Detection (Q)
|
91% |
7069
564.9 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
13702
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
12833
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49511
381.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
51467
402.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22189
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116009
149.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111613
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25478
940.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26964
995.6 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2844
49.2 IPS |
