MacBook Pro (16-inch, 2021)
Geekbench AI Score
12112
Single Precision Score
13554
Half Precision Score
12765
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | September 21 2025 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
5152
958.1 IPS |
|
|
Image Classification (HP)
|
100% |
5132
954.4 IPS |
|
|
Image Classification (Q)
|
96% |
4769
890.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11770
190.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12154
197.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11631
188.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57626
67.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
63323
73.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
60783
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
5235
415.2 IPS |
|
|
Object Detection (HP)
|
100% |
5557
440.8 IPS |
|
|
Object Detection (Q)
|
92% |
5146
410.7 IPS |
|
|
Face Detection (SP)
|
100% |
21831
259.4 IPS |
|
|
Face Detection (HP)
|
100% |
22860
271.6 IPS |
|
|
Face Detection (Q)
|
100% |
19578
232.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27513
212.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28213
217.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
25785
201.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96975
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122287
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119424
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17394
642.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17975
663.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15822
584.2 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4115
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1703
29.4 IPS |
