MacBook Pro (16-inch, 2021)
Geekbench AI Score
3687
Single Precision Score
16467
Half Precision Score
16406
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 3dworks |
| Upload Date | September 17 2025 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
6853
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6598
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9754
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11128
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70617
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67846
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
7959
633.1 IPS |
|
|
Object Detection (Q)
|
91% |
7430
593.7 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16216
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
15113
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5768
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51568
397.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53374
417.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21850
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120993
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116722
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25910
956.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27945
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3827
66.1 IPS |
