MacBook Pro (16-inch, 2021)
Geekbench AI Score
3664
Single Precision Score
14929
Half Precision Score
14696
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jordanthomaswoods |
| Upload Date | January 07 2026 10:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
6180
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
6032
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8867
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9414
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10430
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68340
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62139
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
7086
563.7 IPS |
|
|
Object Detection (Q)
|
91% |
6692
534.7 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
13536
160.8 IPS |
|
|
Face Detection (Q)
|
100% |
12655
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45900
353.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47090
368.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22264
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
115981
149.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109349
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24660
910.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25813
953.2 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4215
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4176
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2834
49.0 IPS |
