MacBook Pro (16-inch, 2021)
Geekbench AI Score
3635
Single Precision Score
6029
Half Precision Score
4810
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:35 PM |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
2043
380.0 IPS |
|
|
Image Classification (Q)
|
96% |
1479
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10537
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23224
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17964
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2335
185.9 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5421
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3141
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5625
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10440
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7252
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21920
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35297
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28017
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4099
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4322
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4189
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5124
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5117
88.4 IPS |
