MacBook Pro Neural Engine (16-inch, 2021) MacBook Pro (16-inch, 2021)
Geekbench AI Score
3665
Single Precision Score
16458
Half Precision Score
16199
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dukrous |
| Upload Date | June 28 2025 03:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
6900
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6672
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10390
168.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11096
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71015
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
68032
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
7962
633.4 IPS |
|
|
Object Detection (Q)
|
91% |
7486
598.2 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16078
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
13251
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51715
398.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54174
423.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21830
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121329
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116498
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4311
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25904
956.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27768
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3800
65.7 IPS |
