MacBook Pro (16-inch, 2021)
Geekbench AI Score
3640
Single Precision Score
5997
Half Precision Score
4840
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jordanthomaswoods |
| Upload Date | January 07 2026 10:02 AM |
| Views | 9 |
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% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10434
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23107
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17869
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10602
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7340
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22214
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35137
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28125
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4070
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5120
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5128
88.6 IPS |
