MacBook Pro (14-inch, 2021)
Geekbench AI Score
3836
Single Precision Score
6156
Half Precision Score
4911
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | June 24 2025 05:52 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (Q)
|
96% |
1547
289.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23564
27.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18439
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
1796
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
5720
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3260
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5927
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10669
82.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7413
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23160
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37019
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29317
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4410
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5951
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4276
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5211
90.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5229
90.4 IPS |
