MacBook Pro (16-inch, 2021)
Geekbench AI Score
12129
Single Precision Score
13713
Half Precision Score
12933
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vuthi |
| Upload Date | September 25 2025 06:26 AM |
| Views | 5 |
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% |
5129
953.8 IPS |
|
|
Image Classification (HP)
|
100% |
5240
974.5 IPS |
|
|
Image Classification (Q)
|
96% |
4834
902.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11784
191.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12060
195.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11632
188.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57180
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62265
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59585
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5163
409.6 IPS |
|
|
Object Detection (HP)
|
100% |
5273
418.3 IPS |
|
|
Object Detection (Q)
|
92% |
4951
395.2 IPS |
|
|
Face Detection (SP)
|
100% |
21663
257.4 IPS |
|
|
Face Detection (HP)
|
100% |
22681
269.5 IPS |
|
|
Face Detection (Q)
|
100% |
19687
233.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26445
203.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28547
219.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
25722
200.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96958
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121562
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118419
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16761
618.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18230
673.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15675
578.8 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2087
36.1 IPS |
