MacBook Pro (16-inch, 2021)
Geekbench AI Score
3637
Single Precision Score
6021
Half Precision Score
5164
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rubicon |
| Upload Date | January 06 2026 03:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (Q)
|
99% |
2103
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2244
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10475
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23089
26.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17366
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1731
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5480
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5672
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10559
81.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
10478
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22094
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35124
45.2 IPS |
|
|
Style Transfer (Q)
|
100% |
34969
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3945
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5152
89.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5106
88.2 IPS |
