MacBook Pro (16-inch, 2021)
Geekbench AI Score
3699
Single Precision Score
16464
Half Precision Score
16346
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 01:32 PM |
| 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 (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6854
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6510
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9770
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11157
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70654
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67240
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
7951
632.5 IPS |
|
|
Object Detection (Q)
|
91% |
7426
593.3 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
16400
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
15332
182.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50963
392.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53474
417.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21897
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121158
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115592
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25905
956.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27698
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
