MacBook Pro (16-inch, 2021)
Geekbench AI Score
11988
Single Precision Score
13580
Half Precision Score
12828
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxloginov |
| Upload Date | November 28 2025 12:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
5052
939.5 IPS |
|
|
Image Classification (HP)
|
100% |
5133
954.5 IPS |
|
|
Image Classification (Q)
|
96% |
4794
895.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11908
193.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12056
195.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11522
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
57014
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62287
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59254
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
5133
407.1 IPS |
|
|
Object Detection (HP)
|
100% |
5370
425.9 IPS |
|
|
Object Detection (Q)
|
92% |
5090
406.3 IPS |
|
|
Face Detection (SP)
|
100% |
21446
254.8 IPS |
|
|
Face Detection (HP)
|
100% |
22165
263.4 IPS |
|
|
Face Detection (Q)
|
100% |
19167
227.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26272
202.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27727
213.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
25468
198.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96632
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121128
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120200
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16918
624.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17544
647.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15842
585.0 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1886
32.6 IPS |
