MacBook Pro (16-inch, 2021)
Geekbench AI Score
12215
Single Precision Score
13626
Half Precision Score
12459
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | justink101 |
| Upload Date | September 19 2025 06:21 AM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5093
947.2 IPS |
|
|
Image Classification (HP)
|
100% |
5177
962.8 IPS |
|
|
Image Classification (Q)
|
96% |
4753
887.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11796
191.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12120
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11575
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57095
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62238
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59624
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.3 IPS |
|
|
Object Detection (HP)
|
100% |
5483
435.0 IPS |
|
|
Object Detection (Q)
|
92% |
4952
395.3 IPS |
|
|
Face Detection (SP)
|
100% |
21463
255.0 IPS |
|
|
Face Detection (HP)
|
100% |
22392
266.1 IPS |
|
|
Face Detection (Q)
|
100% |
19287
229.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26199
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27938
215.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
25656
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96646
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121671
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118529
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16691
616.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17529
647.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15509
572.7 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1510
26.1 IPS |
