MacBook Pro (16-inch, 2021)
Geekbench AI Score
12112
Single Precision Score
13740
Half Precision Score
12474
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 17 2025 02:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5087
946.0 IPS |
|
|
Image Classification (HP)
|
100% |
5242
974.9 IPS |
|
|
Image Classification (Q)
|
96% |
4782
893.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11693
189.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12028
195.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11452
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56912
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
62274
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59383
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
5071
402.3 IPS |
|
|
Object Detection (HP)
|
100% |
5303
420.7 IPS |
|
|
Object Detection (Q)
|
92% |
4966
396.4 IPS |
|
|
Face Detection (SP)
|
100% |
20667
245.6 IPS |
|
|
Face Detection (HP)
|
100% |
21810
259.2 IPS |
|
|
Face Detection (Q)
|
100% |
18876
224.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26170
201.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27570
212.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
25450
198.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96763
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121616
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118968
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16907
624.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17824
658.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15678
578.9 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1565
27.0 IPS |
