MacBook Pro (16-inch, 2021)
Geekbench AI Score
11900
Single Precision Score
13375
Half Precision Score
12354
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | sietec |
| Upload Date | July 08 2025 01:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
5014
932.5 IPS |
|
|
Image Classification (HP)
|
100% |
4851
902.1 IPS |
|
|
Image Classification (Q)
|
96% |
4708
879.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11846
192.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12140
196.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11588
187.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56828
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62450
72.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
59311
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (HP)
|
100% |
5444
431.8 IPS |
|
|
Object Detection (Q)
|
92% |
4970
396.7 IPS |
|
|
Face Detection (SP)
|
100% |
21538
255.9 IPS |
|
|
Face Detection (HP)
|
100% |
22492
267.2 IPS |
|
|
Face Detection (Q)
|
100% |
19245
228.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26705
205.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27919
215.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25661
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96663
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121443
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118827
153.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16937
625.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17636
651.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15405
568.8 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1513
26.1 IPS |
