MacBook Pro (14-inch, 2021)
Geekbench AI Score
3640
Single Precision Score
16155
Half Precision Score
15923
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:09 AM |
| 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 (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6851
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6550
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9675
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10439
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70664
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67397
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
7942
631.8 IPS |
|
|
Object Detection (Q)
|
91% |
7395
590.9 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
15559
184.9 IPS |
|
|
Face Detection (Q)
|
100% |
13401
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5746
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50830
391.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53471
417.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21886
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121029
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115837
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4294
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25671
947.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27551
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3661
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3673
63.5 IPS |
