MacBook Pro (16-inch, 2021)
Geekbench AI Score
12233
Single Precision Score
13602
Half Precision Score
12679
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Wimpol |
| Upload Date | October 09 2025 09:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5092
947.0 IPS |
|
|
Image Classification (HP)
|
100% |
5053
939.7 IPS |
|
|
Image Classification (Q)
|
96% |
4722
881.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11772
190.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12096
196.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11575
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57121
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62259
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59678
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
5154
408.8 IPS |
|
|
Object Detection (HP)
|
100% |
5344
423.9 IPS |
|
|
Object Detection (Q)
|
92% |
4955
395.5 IPS |
|
|
Face Detection (SP)
|
100% |
21359
253.8 IPS |
|
|
Face Detection (HP)
|
100% |
22722
270.0 IPS |
|
|
Face Detection (Q)
|
100% |
19403
230.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26371
203.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28073
216.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
25691
200.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96694
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121777
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118606
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16849
622.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17534
647.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15485
571.8 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4223
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4175
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1738
30.0 IPS |
