MacBook Pro (14-inch, 2021)
Geekbench AI Score
3788
Single Precision Score
6055
Half Precision Score
4838
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | July 02 2025 06:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (Q)
|
96% |
1549
289.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23519
27.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18371
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
2301
183.2 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5670
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3257
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10606
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7143
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22850
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37043
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28938
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4262
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3993
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5053
87.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5073
87.7 IPS |
