MacBook Pro (16-inch, 2021)
Geekbench AI Score
3701
Single Precision Score
5852
Half Precision Score
4694
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | WooYoung |
| Upload Date | June 04 2025 01:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.4 IPS |
|
|
Image Classification (Q)
|
96% |
1469
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2558
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11175
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21897
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17558
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2323
184.9 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
3058
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5837
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10258
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7114
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22210
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32901
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26481
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4124
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4924
85.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4902
84.7 IPS |
