MacBook Pro (16-inch, 2021)
Geekbench AI Score
3754
Single Precision Score
5774
Half Precision Score
4725
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wynnr |
| Upload Date | March 27 2025 04:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (Q)
|
96% |
1482
276.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21641
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17166
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2358
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1714
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
5185
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
3074
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10606
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7169
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22144
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34602
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27033
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6361
234.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4066
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3359
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4929
85.2 IPS |
