MacBook Pro (16-inch, 2021)
Geekbench AI Score
3672
Single Precision Score
16585
Half Precision Score
16412
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | May 14 2025 12:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
7008
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6635
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11127
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72007
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67349
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
7997
636.2 IPS |
|
|
Object Detection (Q)
|
91% |
7501
599.4 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
16323
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
14893
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5705
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51869
399.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53835
420.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21747
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121943
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117602
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25949
958.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28018
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3865
66.8 IPS |
