MacBook Pro (16-inch, 2021)
Geekbench AI Score
3690
Single Precision Score
16512
Half Precision Score
16413
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 01:12 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6853
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6558
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9770
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11001
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70811
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67636
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
7994
635.9 IPS |
|
|
Object Detection (Q)
|
91% |
7502
599.4 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16432
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
15207
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52151
401.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53770
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21933
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121622
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115932
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25851
954.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27780
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3868
66.8 IPS |
