MacBook Pro (16-inch, 2021)
Geekbench AI Score
3718
Single Precision Score
16433
Half Precision Score
15975
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 12 2025 09:01 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6975
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6622
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9752
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10313
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10634
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
70971
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67354
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
7839
623.6 IPS |
|
|
Object Detection (Q)
|
91% |
7376
589.4 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
16283
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
13541
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5829
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51702
398.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51619
403.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22078
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119787
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113225
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26016
960.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28397
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3866
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3673
63.5 IPS |
